Multicriteria Methodology for Prioritizing Predictive Maintenance Using RPASs (Drones) with Thermal Cameras on Transmission Lines
Open accessAbstract
Thermographic inspections using drones with thermographic cameras have enabled considerable advances in preventive maintenance. In this context, we propose a methodology for prioritizing flight performance to ensure that the equipment is used in the most efficient way, based on the implementation of thermographic technology in the preventive maintenance plans of electric power concessionaires. Based on information about transmission lines obtained from the literature and made available by transmission companies, criteria and alternatives are established, and a methodology for prioritization and application in transmission lines is established using the AHP multicriteria method. Technical, safety, systemic, social, and financial criteria are defined, each containing alternatives, to define their weight and importance. Finally, through analysis of the four established criteria and alternatives, with their respective weights, a tool is obtained that will assist transmission concessionaires in the adequate prioritization of thermographic inspections using RPAS.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper proposes an AHP-based multicriteria methodology to prioritize predictive maintenance inspections of transmission lines using drones with thermal cameras, using technical, safety, systemic/social, and financial criteria. It defines alternatives for each criterion, derives weights via expert consultation, and reports consistency and ranking results.
Key findings
- Four criteria and their alternatives were defined: technical (T0–T3), safety (S0–S3), systemic/social (SS0–SS3), and financial (F0–F3); AHP pairwise comparisons yielded CI = 0.0029 (0.29%) and CR = 0.0032 (0.32%), with CR < 0.1 confirming consistency.
- Adding the alternatives of greatest significance in each criterion indicates that the maximum percentage a transmission line can reach is 61.84%.
- Rankings of alternatives from the study and from experts showed several changes but general consistency in position, with differences attributed to subjective criteria weights and expert perceptions.
- The methodology is presented as a decision-support tool for prioritizing thermographic drone inspections; the authors state no studies with the same specificity were found.
Methods
- Design: a multicriteria decision methodology using AHP; criteria and alternatives were selected from literature, current transmission-company practices, and author expertise, then validated by experts.
- Data/sample: a qualitative questionnaire was administered to experts (engineers and managers with different characteristics; number not stated in the provided text), and drone flights with thermographic cameras were performed to support criteria robustness.
- Analysis: pairwise comparisons of criteria and alternatives, consistency ratio calculation, weight determination, ranking of alternatives, and comparison of the study ranking with the experts’ ranking.
Limitations
- Stated: the authors recommend a larger, more varied expert panel in future work; although the sampling was consistent, a larger sample could improve results. They also state results should serve as a guide and may be adjusted for regional characteristics or added items.
- Evident from the text: criteria weights and alternatives rely on authors’ expertise and subjective expert perceptions; the paper notes disparity and divergence in expert responses and subjectivity in analyses.
- Evident from the text: no quantitative field outcome data (e.g., failure reduction) are reported; validation is based on expert consultation and flights, not longitudinal maintenance results.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
20 of 33 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Drones have evolved significantly in terms of flight capability, onboard technology, and cost, making their use for maintenance on electrical networks increasingly viable and important.
“Drones have evolved significantly in terms of their flight capability, onboard technology, and cost, making their use for maintenance on electrical networks increasingly viable and important, which was the main motivator for carrying out this work [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] Herich, D., and Vaščák, J. (2024). The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV. Drones, 8. source
Section 8.2 (page not provided) describes camera-equipped drones as a cost-effective way to inspect warehouse structures, supporting the general point that drones can be useful for inspection. The cited paper does not connect changes in flight capability, onboard technology, or cost to maintenance of electrical networks; the searches for power-line and electrical-grid maintenance found no such discussion. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Findingreasoning
There is a high degree of complexity in standardizing preventive maintenance for transmission lines using drones with thermal imaging cameras, resulting from the number of particularities and different conditions to which the equipment is subjected, including geographic and meteorological conditions.
“It was possible to verify that there is a high degree of complexity in standardizing preventive maintenance for transmission lines using drones with thermal imaging cameras. This complexity results from the number of particularities and different conditions to which the equipment is subjected, including geographic and meteorological conditions.”
Quote in the paperSubstantial claim - Findingreasoning
The maximum percentage that a transmission line can reach is 61.84%.
“Adding the alternatives of greatest significance in each criterion indicates that the maximum percentage that a transmission line can reach is 61.84%.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The disparity in responses from professionals directly involved with the activities emphasizes the importance of standardization in decision-making.
“The disparity in responses from professionals directly involved with the activities to be carried out emphasizes the importance of standardization in decision-making.”
Quote in the paperSubstantial claim- Rests on an assumption: Individual analyses have been shown to be highly volatile, with a major impact on decision-making.
- Classified as probably not a substantial claim. 31
- May combine two claims. 19
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe first studies, especially [6,9], provide an important basis for better understanding the thermographic inspection technique using drones, also showing how image processing helps identify defects.
“The first studies, especially [6,9], provide an important basis for better understanding the thermographic inspection technique using drones, also showing how image processing helps identify defects, which are delegated to maintenance teams to resolve.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [6] Li, Z., Zhang, Y., Wu, H., Suzuki, S., Namiki, A., and Wang, W. (2023). Design and Application of a UAV Autonomous Inspection System for High-Voltage Power Transmission Lines. Remote Sens., 15. source
Section 3.1 describes drone photographs being reviewed with manual and deep-learning methods, followed by reports that staff use to arrange maintenance. But it says the automated method mainly detects bird’s nests, while line defects are reviewed manually; the Discussion confirms that the deployed algorithm cannot yet detect other line defects. The cited passages do not establish a thermographic inspection technique. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [9] Santos, T., Cunha, T., Dias, A., Moreira, A.P., and Almeida, J. (2024). UAV Visual and Thermographic Power Line Detection Using Deep Learning. Sensors, 24. source
The Introduction describes UAV thermographic inspection and says thermal images are commonly used to monitor faults such as hot spots. However, the Implemented Image Processing Approach (section 3) trains its models to detect power lines, not defects; it does not show that its image processing identifies defects for maintenance teams. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPublications [4,5,6,7,8,9,10] address techniques for carrying out preventive inspections on transmission lines using RPASs with thermal cameras, demonstrating the importance of using this technology and the impact of using aircraft to carry out inspections.
“Publications [4,5,6,7,8,9,10] address techniques for carrying out preventive inspections on transmission lines using RPASs with thermal cameras, demonstrating the importance of using this technology and the impact of using aircraft to carry out inspections.”
Quote in the paperNot a substantial claim3 of 7 sources checked- cites [4] Jalil, 2019, Visible and Infrared Imaging Based Inspection of Power Installation, Pattern Recognit. Image Anal. source
- cites [5] Jalil, B., Leone, G.R., Martinelli, M., Moroni, D., Pascali, M.A., and Berton, A. (2019). Fault Detection in Power Equipment via an Unmanned Aerial System Using Multi Modal Data. Sensors, 19. source
- cites [6] Li, Z., Zhang, Y., Wu, H., Suzuki, S., Namiki, A., and Wang, W. (2023). Design and Application of a UAV Autonomous Inspection System for High-Voltage Power Transmission Lines. Remote Sens., 15. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [7] Lukačević, I., and Lagator, D. (2022). Requirements for High-Quality Thermal Inspection of the Transmission Lines. Lecture Notes in Networks and Systems, Proceedings of the 31st International Conference on Organization and Technology of Maintenance (OTO 2022), Osijek, Croatia, 12 December 2022, Springer. source
- cites [8] Fj, F., Meganathan, L., Esha, M., Nguyen, G.M.T., and Doss, A. (2023, January 8–10). Power Transmission Line Inspection Using Unmanned Aerial Vehicle—A Review. Proceedings of the 2023 Innovations in Power and Advanced Computing Technologies (i-PACT), Kuala Lumpur, Malaysia. source
- cites [9] Santos, T., Cunha, T., Dias, A., Moreira, A.P., and Almeida, J. (2024). UAV Visual and Thermographic Power Line Detection Using Deep Learning. Sensors, 24. source
- cites [10] Wong, 2021, Power Transmission Line Fault Detection and Diagnosis Based on Artificial Intelligence Approach and its Development in UAV: A Review, Arab. J. Sci. Eng. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPublications [11,12,13,14,15,16,17,18,19,20] report the use of the AHP method to prioritize and optimize processes in several areas.
“Publications [11,12,13,14,15,16,17,18,19,20] report the use of the AHP method to prioritize and optimize processes in several areas.”
Quote in the paperNot a substantial claim6 of 10 sources checked- cites [11] Prommachan, 2024, Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP), Eng. Technol. Appl. Sci. Res. source
- cites [12] Choi, W., Jang, B., Jung, I., Sung, H., and Jang, Y. (2023). Evaluation of Preferences for a Thermal-Camera-Based Abnormal Situation Detection Service via the Integrated Fuzzy AHP/TOPSIS Model. Appl. Sci., 13. source
- cites [13] Huang, 2024, Review of nondestructive testing methods for fiber-reinforced polymer composites, Acta Aeronaut. Astronaut. Sin.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [14] Chadly, A., Aldayyani, H.Y., Hamasha, M.M., Amer, S.E., Maalouf, M., and Mayyas, A. (2024). Selection of optimal strategy for managing decentralized solar PV systems considering uncertain weather conditions. Sci. Rep., 14. source
- cites [15] Khan, M.S., Shah, S.I.A., Javed, A., Qadri, N.M., and Hussain, N. (2021, January 12–16). Drone selection using multi-criteria decision-making methods. Proceedings of the 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST), Islamabad, Pakistan. source
- cites [16] Duxbury, 2024, Dynamic decision making for situational awareness using drones: Requirements, identification and comparison of decision support methods, Expert Syst. Appl. source
The available passages labeled Abstract list AHP as a keyword, but do not describe its use to prioritize or optimize processes. Searches for AHP, prioritization, and applications across areas returned only bibliographic material, so our copy does not establish the attributed claim. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites [17] Gharrad, H., Jabeur, N., and Yasar, A.U.-H. (2022). Hierarchical Analysis Process for Belief Management in Internet of Drones. Sensors, 22. source
- cites [18] Luejai, 2021, Condition Assessment of Overhead Transmission Line Using Weighting and Scoring Method and IT Application, J. Electr. Eng. Technol. source
- cites [19] Izhar, 2024, Electric Transmission Tower Corrosion Assessment Using Analytic Hierarchy Process and Health. Index, Pertanika J. Sci. Technol. source
The Analytical Hierarchy Process (AHP) section describes using AHP to assign priorities through pairwise comparisons, and Towards Corrosion Hazard Level applies those weights to transmission-tower assessment (page numbers unavailable). This supports the paper as an example of AHP-based prioritization, but our copy does not report that it optimized a process. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [20] Wang, 2025, A Study on the Evaluation Method for the Operating Status of Overhead Transmission Lines Based on Analytic Hierarchy Process (AHP), Eng. Rep. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn [11,12,13], the AHP method is used for thermography in different areas such as industry, CCTV and polymer composites, elucidating the possibilities of applying AHP using the thermographic technique in various areas.
“In [11,12,13], the method is used for thermography, but in different areas such as industry, closed-circuit television (CCTV) and polymer composites; however, these applications have proven to be very useful, as they elucidate the possibilities of applying AHP using the thermographic technique in various areas.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [11] Prommachan, 2024, Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP), Eng. Technol. Appl. Sci. Res. source
- cites [12] Choi, W., Jang, B., Jung, I., Sung, H., and Jang, Y. (2023). Evaluation of Preferences for a Thermal-Camera-Based Abnormal Situation Detection Service via the Integrated Fuzzy AHP/TOPSIS Model. Appl. Sci., 13. source
- cites [13] Huang, 2024, Review of nondestructive testing methods for fiber-reinforced polymer composites, Acta Aeronaut. Astronaut. Sin.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn [21], criticality matrices are demonstrated, which are widely used by energy transmission companies.
“In [21], criticality matrices are demonstrated, which are widely used by energy transmission companies.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [21] Suwanasri, C., Saribut, S., Suwanasri, T., and Phadungthin, R. (2021). Risk Analysis Using Failure Modes, Effects, and Criticality Analysis for Transmission Network Assets. Energies, 14. source
The Criticality Analysis section demonstrates a 5 × 5 criticality matrix for transmission-line risks. The Results and Discussion section says an asset-management program was widely used within one utility provider, but does not establish that criticality matrices are widely used by energy transmission companies generally. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe authors of [18,19,20,21] apply AHP to transmission lines, mainly to defects; among these studies, [18,21] are most relevant to the search for prioritization and the establishment of criteria used for transmission lines.
“Finally, the authors of [18,19,20,21] apply AHP to transmission lines, mainly to defects; among these studies, [18,21] are most relevant to the search for prioritization and the establishment of criteria used for transmission lines.”
Quote in the paperNot a substantial claim2 of 4 sources checked- cites [18] Luejai, 2021, Condition Assessment of Overhead Transmission Line Using Weighting and Scoring Method and IT Application, J. Electr. Eng. Technol. source
- cites [19] Izhar, 2024, Electric Transmission Tower Corrosion Assessment Using Analytic Hierarchy Process and Health. Index, Pertanika J. Sci. Technol. source
- cites [20] Wang, 2025, A Study on the Evaluation Method for the Operating Status of Overhead Transmission Lines Based on Analytic Hierarchy Process (AHP), Eng. Rep. source
- cites [21] Suwanasri, C., Saribut, S., Suwanasri, T., and Phadungthin, R. (2021). Risk Analysis Using Failure Modes, Effects, and Criticality Analysis for Transmission Network Assets. Energies, 14. source
Section 3.1 describes using AHP to weight testing methods for transmission-line condition assessment, and the Conclusions describe criteria for ranking maintenance, refurbishment, or replacement priorities. The paper does not characterize its application as mainly concerned with defects; its analysis also covers safety/reliability, environmental, and financial risks. No page numbers are available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe authors of [14,15,16,17] describe the use of RPASs to clean solar panels, define the need to purchase a drone, in maritime installations, and for belief management in internet technology, respectively, applications that all used the AHP method to optimize and prioritize processes, sometimes in combination with other MCDA techniques.
“The authors of [14,15,16,17] describe the use of RPASs to clean solar panels, define the need to purchase a drone, in maritime installations, and for belief management in internet technology, respectively, applications that all used the AHP method to optimize and prioritize processes, sometimes in combination with other multi-criteria decision analysis (MCDA) techniques.”
Quote in the paperNot a substantial claim3 of 4 sources checked- cites [14] Chadly, A., Aldayyani, H.Y., Hamasha, M.M., Amer, S.E., Maalouf, M., and Mayyas, A. (2024). Selection of optimal strategy for managing decentralized solar PV systems considering uncertain weather conditions. Sci. Rep., 14. source
- cites [15] Khan, M.S., Shah, S.I.A., Javed, A., Qadri, N.M., and Hussain, N. (2021, January 12–16). Drone selection using multi-criteria decision-making methods. Proceedings of the 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST), Islamabad, Pakistan. source
- cites [16] Duxbury, 2024, Dynamic decision making for situational awareness using drones: Requirements, identification and comparison of decision support methods, Expert Syst. Appl. source
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [17] Gharrad, H., Jabeur, N., and Yasar, A.U.-H. (2022). Hierarchical Analysis Process for Belief Management in Internet of Drones. Sensors, 22. source
May combine two claims.
Findingown dataThe rankings of the alternatives show several changes but still exhibit a general consistency in the position of the results, with great influence from the difference in the values of the criteria.
“The rankings are shown in a comparative way, demonstrating several changes; however, it is still possible to notice a general consistency in the position of the results, with the great influence provided by the difference in the values of the criteria.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenNo studies with the same specificity were found.
“considering that no studies with the same specificity were found”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Findingnone givenThe methodology was initially successful, with a view to reducing equipment failures and avoiding unscheduled shutdowns of transmission lines where the most critical criteria were present.
“Despite this, the methodology was initially successful, with a view to reducing equipment failures and avoiding unscheduled shutdowns of transmission lines where the most critical criteria that were defined were present.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataThe consistency ratio (CR) of 0.0032 (0.32%) is less than 0.1, confirming the consistency of the hierarchy of criteria.
“The resulting CR < 0.1 confirms the consistency of the hierarchy of the criteria listed above [26].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Siekelova, 2021, Analytic Hierarchy Process in Multiple–Criteria Decision–Making: A Model Example, SHS Web Conf. source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
FindingreasoningThe results obtained align with expectations.
“The results obtained align with expectations”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThere is a notable difference in percentage points between the weights of the criteria.
“There is a notable difference in percentage points between the weights of the criteria, given that they are more subjective items, based on the professionals’ experiences and perceptions gained throughout their professional lives.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe percentage values of the alternatives fluctuated much less than the criteria in the comparisons, but were influenced by them, significantly impacting the final values.
“The percentage values of the alternatives are also shown in a comparative manner; these fluctuated much less in relation to the criteria in the comparisons, but when related to the final values, they were influenced by them. This had a significant impact on the final values, as shown in Table 11.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenThe experts' perceptions were noticeably different according to their technical and sectoral characteristics and alignment with the history of the company and management.
“It is also possible to note that the experts’ perceptions were noticeably different according to their technical and sectoral characteristics and alignment with the history of the company and management.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThere is a lack of research that covers all the areas proposed in this paper (multi-criteria analysis, transmission lines, RPASs, and thermography).
“There is a lack of research that covers all the areas proposed in this paper.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe criteria to be considered in the multicriteria selection method (technical, financial, safety, and systemic/social) were defined based on the research reviewed, the authors' experience, and training provided.
“Based on the research reviewed, the authors’ experience, and training provided, the criteria to be considered in the multicriteria selection method were defined, namely technical, financial, safety, and systemic/social criteria.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningStage 2 involves validation with experts (engineers and managers) and making adjustments if necessary, ensuring the validity of the methodology and confirming the results of the work.
“Stage 2 involves applying the technique developed using AHP to transmission lines, demonstrating the prioritization of inspections using drones with thermal imaging cameras based on the criteria and weights defined in stage 1; validation with experts, which involves engineers and managers; and making adjustments if necessary, ensuring the validity of the methodology and confirming the results of”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenProfessionals with different characteristics were consulted to verify their understanding of the proposed criteria and alternatives.
“Professionals with different characteristics were consulted, to verify their understanding of the proposed criteria and alternatives, leaving room for suggestions of alterations, additions, and changes according to what the professionals understood should be present.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataA qualitative research questionnaire was prepared to define the values for each criterion and alternatives, and it was validated by experts.
“A qualitative research questionnaire was prepared to define the values for each criterion adopted and the alternatives for each criterion. It was as a reference for calculation and subsequent validation by experts”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThere are currently no prioritization methodologies for prioritizing predictive maintenance activities in transmission lines using drones with thermal cameras.
“There are currently no prioritization methodologies for this purpose.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe weights were defined according to the authors' expertise and structured based on recent history, and were validated later with other experts.
“The values were defined according to the authors’ expertise and structured based on the recent history of decision-making regarding the use of visual drones in CPFL transmission, considering that drones with thermal cameras are a very recent technology and are still being studied through R&D activities. These weights were validated later with other experts.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningTransitioning to thermography using drones makes it easier to carry out inspections, since there is no need for an aircraft with a pilot; this also reduces the costs involved with the activity.
“Transitioning to thermography using drones makes it easier to carry out inspections, since there is no need for an aircraft with a pilot; this also reduces the costs involved with the activity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe systemic/social criterion assessment is based on the experience of transmission companies.
“Like the safety item, this assessment is based in the experience of transmission companies and defines the systemic impact of the possible shutdown of the Transmission Line”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe weights for the criteria are defined according to the authors' knowledge based on the current approach to managing the concessionaire's assets, references researched, and courses and workshops held in the past, and are subsequently validated by consulting experts in stage 2.
“The weights are defined according to the authors’ knowledge based on the current approach to managing the concessionaire’s assets, references researched, and courses and workshops held in the past, which provide a basis for adequately establishing the weights for each of the defined elements, which are subsequently validated by consulting experts in stage 2.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe professionals were chosen according to the unique insights their experiences afforded, providing a variety of perspectives.
“The professionals were chosen according to the unique insights their experiences afforded, which provided a variety of perspectives on the activity.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataUsing the AHP method, each criterion was ranked and assigned a weight, identifying the optimized solution for the most advantageous predictive maintenance plan that meets the proposed criteria for the concessionaire's transmission system.
“Using the AHP method, each criterion was ranked and assigned a weight, identifying the optimized solution for the most advantageous predictive maintenance plan that would meet the criteria proposed in this paper for the concessionaire’s transmission system.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenThe use of a drone with a thermographic camera enables better analysis of anomalies, since it replaces ground inspection and can bring the thermographic camera closer to the hotspot, reducing the influence of weather conditions and distance from the object and ensuring that the images captured better portray the conditions of the anomaly.
“The use of a drone with a thermographic camera enables better analysis of anomalies, since it replaces ground inspection and can bring the thermographic camera closer to the hotspot, reducing the influence of weather conditions and distance from the object and ensuring that the images captured better portray the conditions of the anomaly.”
Quote in the paperNot a substantial claim- Rests on an assumption: Problems in the conduction of electrical energy through the elements comprising an energy transmission system can result in excess heat, which can be identified using thermography.
- Rests on an assumption: Thermography is a very efficient predictive maintenance technique for detecting anomalies resulting from faulty contacts between power conduction circuits, with the ability to classify detected faults according to their temperature and location characteristics, enabling decision-makers to determine an appropriate time for corrective maintenance before system failure occurs.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningAn AHP model is used for validation by professionals, with a view to equalizing the information and ensuring that resulting decisions are aligned with the company's history of action for system occurrences.
“Since there is complexity in assigning weights in relation to the defined criteria, an AHP model is used for validation by professionals, with a view to equalizing the information and ensuring that resulting decisions are aligned with the company’s history of action for system occurrences, considering the reasons for events with the greatest repercussions and most resulting damage from technical”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSeveral flights were performed using drones with thermographic cameras to ensure the robustness of the established criteria.
“Several flights were performed using drones with thermographic cameras to ensure the robustness of the established criteria, as demonstrated by a thermographic image taken by a drone (Figure 3).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe use of thermographic inspection using drones will be successful as long as it is directed appropriately.
“It was possible to verify that the use of thermographic inspection using drones will be successful as long as it is directed appropriately.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe criteria (technical, safety, systemic/social, and financial) are based on approaches currently implemented by some transmission concessionaires, with some points modified according to the expertise of the author, some professionals in the field, and the literature reviewed, and adjustments were made to ensure they are specific to thermographic inspections carried out using drones.
“These criteria are based on approaches currently implemented by some transmission concessionaires, with some points modified according to the expertise of the author, some professionals in the field, and the literature reviewed. Some adjustments were also made to ensure the criteria are specific to thermographic inspections carried out using drones.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Study design and conductnone givenThe sampling was quite consistent in this work.
“Although the sampling was quite consistent in this work”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe safety criterion assessment is based on consultations with various energy transmission companies regarding the points of greatest risk to life.
“This assessment is based on consultations with various energy transmission companies regarding the points of greatest risk to life”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe AHP method is suitable for developing the methodology proposed in this work.
“the AHP method proves suitable for developing the methodology proposed in this work”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe work can serve as a basis for the development of an auxiliary tool for use by electric power transmission companies.
“it can serve as a basis for the development of an auxiliary tool for use by electric power transmission companies”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe AHP parameters were defined following expert consultation and have been validated by professionals with extensive experience with transmission lines.
“the parameters were defined following expert consultation, and have been demonstrated in the literature review to be validated by professionals with extensive experience with transmission lines”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Problems in the conduction of electrical energy through the elements comprising an energy transmission system can result in excess heat, which can be identified using thermography.
“Problems in the conduction of electrical energy through the elements comprising an energy transmission system can result in excess heat, which can be identified using thermography.”
The paper relies on this without support.
Thermography is a very efficient predictive maintenance technique for detecting anomalies resulting from faulty contacts between power conduction circuits, with the ability to classify detected faults according to their temperature and location characteristics, enabling decision-makers to determine an appropriate time for corrective maintenance before system failure occurs.
“This is a very efficient predictive maintenance technique for detecting anomalies resulting from faulty contacts between power conduction circuits, with the ability to classify detected faults according to their temperature and location characteristics. This enables decision-makers to determine an appropriate time for corrective maintenance before system failure occurs.”
The paper relies on this without support.
Individual analyses have been shown to be highly volatile, with a major impact on decision-making.
“as individual analyses have been shown to be highly volatile, with a major impact on decision-making”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Abstract lists five criteria but says four were established
MinorThe abstract names technical, safety, systemic, social, and financial as separate criteria, then refers to four established criteria. The methodology treats systemic/social as one combined criterion.
“Technical, safety, systemic, social, and financial criteria are defined, each containing alternatives, to define their weight and importance.”
“Finally, through analysis of the four established criteria and alternatives, with their respective weights, a tool is obtained”
S3 description does not match its stated definition
MinorThe text describes S3 as relating to risks to places of historical, cultural, or religious value, but defines S3 as every line that does not meet S0-S2, whether or not such a place is at risk.
“S3 relates to risks to places that may have historical, cultural, or religious value.”
“S3—Lines that do not fit into the other three options.”
Cites
Multi‐Criteria Decision Analysis
Ishizaka, A., & Nemery, P. (2013) · Wiley eBooks · doi:10.1002/9781118644898 · Cited by 980 · see citing works
Li, Z., Zhang, Y., Wu, H., Suzuki, S., Namiki, A., & Wang, W. (2023) · Remote Sensing · doi:10.3390/rs15030865 · Cited by 160 · see citing works
Fault Detection in Power Equipment via an Unmanned Aerial System Using Multi Modal Data
Jalil, B., Leone, G. R., Martinelli, M., Moroni, D., Pascali, M. A., & Berton, A. (2019) · Sensors · doi:10.3390/s19133014 · Cited by 141 · see citing works
Wong, S. Y., Choe, C. W. C., Goh, H. H., Low, Y. W., Cheah, D. Y. S., & Pang, C. (2021) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-021-05522-w · Cited by 66 · see citing works
Analytic Hierarchy Process in Multiple–Criteria Decision–Making: A Model Example
Siekelova, A., Podhorska, I., & Imppola, J. J. (2021) · SHS Web of Conferences · doi:10.1051/shsconf/20219001019 · Cited by 47 · see citing works
UAV Visual and Thermographic Power Line Detection Using Deep Learning
Santos, T., Cunha, T., Dias, A., Moreira, A. P., & Almeida, J. (2024) · Sensors · doi:10.3390/s24175678 · Cited by 39 · see citing works
Drone selection using multi-criteria decision-making methods
Sohaib Khan, M., Ali Shah, S. I., Javed, A., Mumtaz Qadri, N., & Hussain, N. (2021) · 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST) · doi:10.1109/ibcast51254.2021.9393291 · Cited by 20 · see citing works
Risk Analysis Using Failure Modes, Effects, and Criticality Analysis for Transmission Network Assets
Suwanasri, C., Saribut, S., Suwanasri, T., & Phadungthin, R. (2021) · Energies · doi:10.3390/en14040977 · Cited by 18 · see citing works
Visible and Infrared Imaging Based Inspection of Power Installation
Jalil, B., Pascali, M. A., Leone, G. R., Martinelli, M., Moroni, D., Salvetti, O., & Berton, A. (2019) · Pattern Recognition and Image Analysis · doi:10.1134/s1054661819010140 · Cited by 14 · see citing works
Herich, D., & Vaščák, J. (2024) · Drones · doi:10.3390/drones8020034 · Cited by 14 · see citing works
Chadly, A., Aldayyani, H. Y., Hamasha, M. M., Amer, S., Maalouf, M., & Mayyas, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-62891-6 · Cited by 12 · see citing works
Luejai, W., Suwanasri, T., & Suwanasri, C. (2021) · Journal of Electrical Engineering & Technology · doi:10.1007/s42835-021-00834-1 · Cited by 11 · see citing works
Power Transmission Line Inspection Using Unmanned Aerial Vehicle - A Review
FJ, F., Meganathan, L., Esha, M., Minh Thao, N. G., & Arockia Doss, A. S. (2023) · 2023 Innovations in Power and Advanced Computing Technologies (i-PACT) · doi:10.1109/i-pact58649.2023.10434671 · Cited by 10 · see citing works
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Lopes, A. L. M., Mesquita, R. D. B., Cardoso, M. L., et al. (2020) · Gestão & Produção · doi:10.1590/0104-530x3940-20 · Cited by 7 · see citing works
Enhanced Multi Criteria Decision Analysis for Planning Power Transmission Lines
Schito, J., Hayek, U. W., & Raubal, M. (2018) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/lipics.giscience.2018.15 · Cited by 7 · see citing works
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Hierarchical Analysis Process for Belief Management in Internet of Drones
Gharrad, H., Jabeur, N., & Yasar, A. U.-H. (2022) · Sensors · doi:10.3390/s22166146 · Cited by 3 · see citing works
Electric Transmission Tower Corrosion Assessment Using Analytic Hierarchy Process and Health. Index
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Requirements for High-Quality Thermal Inspection of the Transmission Lines
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Flagged first, then by citations
Research works printed but not linked: 2
- Huang, 2024, Review of nondestructive testing methods for fiber-reinforced polymer composites, Acta Aeronaut. Astronaut. Sin., 45, 529697
- Saaty, T., Vargas, L., and St, C. (2022). The Analytic Hierarchy Process, Springer.
Cited by
Sorted by citations
Multimodal Predictive Maintenance Using CNN and LSTM with Thermal Imaging
Hridim, A., Mouachi, R., & Chakraoui, M. (2026) · International Conference on Global Aeronautical Engineering and Satellite Technology (GAST) · doi:10.1109/gast67799.2026.11523240
- Authors
- Schnorr, A., Bernardon, D., Feil, D., Fabrin, F., Konrad, C., dos Santos, L. L. C., Bitencourt, V., Fontoura, H., & Correa, C.
- Affiliations
- Universidade Federal de Santa Maria (BR)
- Headquartes Campus, Federal University of Santa Maria, Santa Maria 97105-900, RS, Brazil
- CPFL Energia, Campinas 130088-900, SP, Brazil
- Corresponding author
- Schnorr, André
- ORCID
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2025-08-14
- Volume
- 25
- Issue
- 16
- Pages
- 5064
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC12390244
- OpenAlex
- W4413970561
- Semantic Scholar
- be0e77fc8be8cc5e428770e73cfa9670c46dd96b
- Cited by
- 1
- References
- 20
- Citations by year
- 2026: 1
- FWCI
- 0.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- CPFL Energia
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Engineering › Mechanical Engineering › Power Line Inspection Robots
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
- Keywords
- predictive maintenance, infrared thermography, unmanned aerial vehicles, RPAS, transmission lines, thermographic inspection, multi-criteria decision making, analytic hierarchy process, maintenance prioritization, inspection planning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-17.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-17.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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