Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP)
Open accessAbstract
A primary industry objective is to ensure that machinery remains operational through effective management. Predictive maintenance plays a significant role in monitoring the working condition of machinery. The goal of this study is to establish the criteria for evaluating predictive maintenance techniques for rotating machines utilizing the Analytic Hierarchy Process (AHP). To achieve this target, survey data were collected from questionnaires and interviews with 20 experts, which had at least 20 years of professional experience. The Analytic Hierarchy Process (AHP) was utilized for criteria selection. The findings disclosed that predictive maintenance factors for rotating machines were ranked as follows: vibration analysis (45.5%), acoustic analysis (22.7%), oil analysis (22.4%), infrared thermography (5.8%), and wear particle analysis (3.6%). The Consistency Ratio (CR) was determined to be less than 10%, indicating a high level of consensus among the experts. Given the elevated importance attributed to vibration analysis, it can be concluded that the latter is the primary criterion for selecting predictive maintenance techniques for rotating machines.
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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.
“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.”
From Multicriteria Methodology for Prioritizing Predictive Maintenance Using RPASs (Drones) with Thermal Cameras on Transmission Lines (2025) · cites this paper as [11]
In [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.”
From Multicriteria Methodology for Prioritizing Predictive Maintenance Using RPASs (Drones) with Thermal Cameras on Transmission Lines (2025) · cites this paper as [11]
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Research works printed but not linked: 22
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Sorted by citations
Schnorr, A., Bernardon, D., Feil, D., Fabrin, F., Konrad, C., dos Santos, L. L. C., Bitencourt, V., Fontoura, H., & Correa, C. (2025) · Sensors · doi:10.3390/s25165064 · Cited by 1 · see citing works
- Authors
- Prommachan, W., Surin, P., Srinoi, P., & Pipathattakul, M.
- Affiliations
- Pathumwan Institute of Technology (TH)
- Kasem Bundit University (TH)
- Venue
- Engineering, Technology & Applied Science Research
- Published
- 2024-02-08
- Volume
- 14
- Issue
- 1
- Pages
- 13058-13065
- ISSN
- 1792-8036 (ISSN-L)
- 2241-4487
- OpenAlex
- W4391691330
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Engineering Technology & Applied Science Research (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Keywords
- predictive maintenance, rotating machinery, criteria selection, analytic hierarchy process, vibration analysis, acoustic analysis, oil analysis, infrared thermography, wear particle analysis, expert survey, condition monitoring
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