A Review of the Fault Behavior of Heat Pumps and Measurements, Detection and Diagnosis Methods Including Virtual Sensors
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A film on the sensor cover, such as water, ice, dust, snow, or salt, can prevent objects from being detected (false negatives), from being seen (false positives), or from being correctly classified.
“A film on the sensor cover, such as water, ice, dust, snow, or salt, can prevent objects from being detected (false negatives), from being seen (false positives), or from being correctly classified [40,41].”
From Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey (2022) · cites this paper as [40]
Cites
A review of process fault detection and diagnosis
Venkatasubramanian, V., Rengaswamy, R., Yin, K., & Kavuri, S. N. (2003) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(02)00160-6 · Cited by 2,734 · see citing works
A review of process fault detection and diagnosis
Venkatasubramanian, V., Rengaswamy, R., Kavuri, S. N., & Yin, K. (2003) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(02)00162-x · Cited by 1,866 · see citing works
A review of process fault detection and diagnosis
Venkatasubramanian, V., Rengaswamy, R., & Kavuri, S. N. (2003) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(02)00161-8 · Cited by 1,536 · see citing works
Katipamula, S., & Brambley, M. R. (2005) · Science and Technology for the Built Environment · doi:10.1080/10789669.2005.10391123 · Cited by 942 · see citing works
Zhao, Y., Li, T., Zhang, X., & Zhang, C. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.04.021 · Cited by 594 · see citing works
A review of fault detection and diagnostics methods for building systems
Kim, W., & Katipamula, S. (2017) · Science and Technology for the Built Environment · doi:10.1080/23744731.2017.1318008 · Cited by 388 · see citing works
Katipamula, S., & Brambley, M. R. (2005) · Science and Technology for the Built Environment · doi:10.1080/10789669.2005.10391133 · Cited by 310 · see citing works
A review of fault detection and diagnosis methodologies on air-handling units
Yu, Y., Woradechjumroen, D., & Yu, D. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.06.042 · Cited by 307 · see citing works
Rossi, T. M., & Braun, J. E. (1997) · Science and Technology for the Built Environment · doi:10.1080/10789669.1997.10391359 · Cited by 226 · see citing works
Common Faults and Their Impacts for Rooftop Air Conditioners
Breuker, M. S., & Braun, J. E. (1998) · Science and Technology for the Built Environment · doi:10.1080/10789669.1998.10391406 · Cited by 195 · see citing works
Modeling of HVAC operational faults in building performance simulation
Zhang, R., & Hong, T. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.153 · Cited by 173 · see citing works
A critical review of fault modeling of HVAC systems in buildings
Li, Y., & O’Neill, Z. D. (2018) · Building Simulation · doi:10.1007/s12273-018-0458-4 · Cited by 162 · see citing works
Shi, Z., & O’Brien, W. (2019) · Automation in Construction · doi:10.1016/j.autcon.2019.04.002 · Cited by 147 · see citing works
Data-Driven Modeling, Fault Diagnosis and Optimal Sensor Selection for HVAC Chillers
Namburu, S. M., Azam, M., Luo, J., et al. (2007) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2006.888053 · Cited by 144 · see citing works
A review of fault detection and diagnosis methods for residential air conditioning systems
Rogers, A. P., Guo, F., & Rasmussen, B. P. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106236 · Cited by 138 · see citing works
Bonvini, M., Sohn, M. D., Granderson, J., Wetter, M., & Piette, M. A. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.03.009 · Cited by 135 · see citing works
Han, H., Gu, B., Wang, T., et al. (2010) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2010.08.011 · Cited by 132 · see citing works
Waddicor, D. A., Fuentes, E., Sisó, L., et al. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.03.003 · Cited by 131 · see citing works
Self-citationLi, H., & Braun, J. E. (2006) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2006.07.024 · Cited by 120 · see citing works
Data mining based sensor fault diagnosis and validation for building air conditioning system
Hou, Z., Lian, Z., Yao, Y., & Yuan, X. (2006) · Energy Conversion and Management · doi:10.1016/j.enconman.2005.11.010 · Cited by 106 · see citing works
A Methodology for Diagnosing Multiple Simultaneous Faults in Vapor-Compression Air Conditioners
Li, H., & Braun, J. E. (2007) · Science and Technology for the Built Environment · doi:10.1080/10789669.2007.10390959 · Cited by 105 · see citing works
Li, G., & Hu, Y. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.05.025 · Cited by 104 · see citing works
The Sensitivity of Chiller Performance to Common Faults
Comstock, M. C., Braun, J. E., & Groll, E. A. (2001) · Science and Technology for the Built Environment · doi:10.1080/10789669.2001.10391274 · Cited by 95 · see citing works
Performance of a residential heat pump operating in the cooling mode with single faults imposed
Kim, M., Payne, W. V., Domanski, P. A., et al. (2008) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2008.04.009 · Cited by 95 · see citing works
Li, G., Chen, H., Hu, Y., et al. (2017) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2017.10.013 · Cited by 94 · see citing works
Li, G., & Hu, Y. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.10.013 · Cited by 93 · see citing works
Development, Evaluation, and Demonstration of a Virtual Refrigerant Charge Sensor
Li, H., & Braun, J. E. (2009) · Science and Technology for the Built Environment · doi:10.1080/10789669.2009.10390828 · Cited by 89 · see citing works
Koçyiğit, N. (2014) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2014.10.017 · Cited by 87 · see citing works
Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC)
Narayanaswamy, B., Balaji, B., Gupta, R. K., et al. (2014) · doi:10.1145/2674061.2674067 · Cited by 69 · see citing works
Luo, X., Fong, K. F., Sun, Y., et al. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.01.006 · Cited by 68 · see citing works
A diagnostic tool for online sensor health monitoring in air-conditioning systems
Xiao, F., Wang, S., & Zhang, J. (2005) · Automation in Construction · doi:10.1016/j.autcon.2005.06.001 · Cited by 67 · see citing works
Detection of Rooftop Cooling Unit Faults Based on Electrical Measurements
Armstrong, P. R., Laughman, C. R., Leeb, S. B., et al. (2006) · Science and Technology for the Built Environment · doi:10.1080/10789669.2006.10391172 · Cited by 65 · see citing works
The impact of fouling on the performance of filter–evaporator combinations
Yang, L., Braun, J. E., & Groll, E. A. (2006) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2006.08.006 · Cited by 64 · see citing works
A practical chiller fault diagnosis method based on discrete Bayesian network
Wang, Y., Wang, Z., Wang, Z., et al. (2019) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2019.03.008 · Cited by 63 · see citing works
Automated Fault Detection and Diagnostics for Vapor Compression Cooling Equipment
Braun, J. E. (2003) · Journal of Solar Energy Engineering · doi:10.1115/1.1591001 · Cited by 56 · see citing works
Cheung, H., & Braun, J. E. (2013) · Science and Technology for the Built Environment · doi:10.1080/10789669.2013.819769 · Cited by 53 · see citing works
Yuill, D. P., & Braun, J. E. (2013) · Science and Technology for the Built Environment · doi:10.1080/10789669.2013.808135 · Cited by 53 · see citing works
Kim, M., Kim, M. S., Kim, M. S., et al. (2005) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2004.11.008 · Cited by 53 · see citing works
Fault diagnosis for heat pumps with parameter identification and clustering
Zogg, D., Shafai, E., & Geering, H. P. (2005) · Control Engineering Practice · doi:10.1016/j.conengprac.2005.11.002 · Cited by 52 · see citing works
Li, H., & Braun, J. E. (2009) · Science and Technology for the Built Environment · doi:10.1080/10789669.2009.10390853 · Cited by 49 · see citing works
MODELING AND SIMULATION OF HVAC FAULTS IN ENERGYPLUS
Basarkar, M., Pang, X., Wang, L., et al. (2011) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 47 · see citing works
Sensitivity Analysis of Installation Faults on Heat Pump Performance
Domanski, P. A., Henderson, H., & Payne, W. V. (2014) · doi:10.6028/nist.tn.1848 · Cited by 47 · see citing works
Bell, I. H., Groll, E. A., & König, H. (2010) · Heat Transfer Engineering · doi:10.1080/01457632.2010.495618 · Cited by 46 · see citing works
Gradual fault early stage diagnosis for air source heat pump system using deep learning techniques
Sun, Z., Jin, H., Gu, J., et al. (2019) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2019.07.020 · Cited by 46 · see citing works
Ahn, Y.-C., Cho, J.-M., Shin, H., Hwang, Y., Lee, C.-G., Lee, J.-K., Lee, H. U., & Kang, T.-W. (2003) · Korean Journal of Chemical Engineering · doi:10.1007/bf02697291 · Cited by 45 · see citing works
Effect of common faults on the performance of different types of vapor compression systems
Du, Z., Domanski, P. A., & Payne, W. V. (2015) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2015.11.108 · Cited by 44 · see citing works
Failure Detection Diagnostics for Thermofluid Systems
Wagner, J. R., & Shoureshi, R. A. (1992) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.2897743 · Cited by 40 · see citing works
Koçyiğit, N., Bulgurcu, H., & Lin, C.-X. (2014) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2014.05.027 · Cited by 40 · see citing works
Generalized effects of faults on normalized performance variables of air conditioners and heat pumps
Mehrabi, M., & Yuill, D. P. (2017) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2017.10.017 · Cited by 40 · see citing works
Cheung, H., & Braun, J. E. (2013) · Science and Technology for the Built Environment · doi:10.1080/10789669.2013.824800 · Cited by 39 · see citing works
Kim, W., & Braun, J. E. (2015) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2015.11.005 · Cited by 38 · see citing works
A comprehensive study on the important faults in heat pump system during the warranty period
Madani, H., & Roccatello, E. (2014) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2014.08.007 · Cited by 33 · see citing works
History of Heat Pumps Swiss Contributions and International Milestones
Zogg, M. (2008) · Cited by 31 · see citing works
Development and evaluation of modeling approaches for transients in centrifugal chillers
Bendapudi, S. (2004) · Purdue e-Pubs (Purdue University System) · Cited by 29 · see citing works
Effect of the distribution of faults and operating conditions on AFDD performance evaluations
Yuill, D. P., & Braun, J. E. (2016) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2016.06.149 · Cited by 23 · see citing works
Fouling and Its Effects on Air-cooled Condensers in Split System Air Conditioners (RP-1705)
Mehrabi, M., & Yuill, D. P. (2019) · Science and Technology for the Built Environment · doi:10.1080/23744731.2019.1605197 · Cited by 20 · see citing works
A comparison of static and dynamic fault detection techniques for transcritical refrigeration
Janecke, A. K., Terrill, T. J., & Rasmussen, B. P. (2017) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2017.04.020 · Cited by 19 · see citing works
Effect of heat pump commissioning faults on energy use in a slab-on-grade residential house
Domanski, P. A., Henderson, H., & Payne, W. V. (2015) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2015.05.090 · Cited by 18 · see citing works
Refrigerant Charge Fault Detection and Diagnosis Algorithm for Water-to-Water Heat Pump Unit
Boahen, S., Lee, K. H., & Choi, J. Y. (2019) · Energies · doi:10.3390/en12030545 · Cited by 18 · see citing works
Superheat Stability of an Evaporator and Thermostatic Expansion Valve
Lenger, M. J., Jacobi, A. M., & Hrnjak, P. (1998) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 17 · see citing works
Effective diagnosis methods for air-conditioning equipment in telecommunications buildings
Yoshimura, M., & Ito, N. (2003) · International Telecommunications Energy Conference (INTELEC) · doi:10.1109/intlec.1989.88347 · Cited by 17 · see citing works
A fault diagnosis system for district heating and cooling facilities
Kumamaru, T., Utsunomiya, T., Yamada, Y., et al. (2002) · International Conference on Industrial Electronics, Control and Instrumentation (IECON) · doi:10.1109/iecon.1991.239316 · Cited by 16 · see citing works
Modeling and Simulation of Operational Faults of HVAC Systems Using EnergyPlus
Zhang, R., & Hong, T. (2016) · ASHRAE/IBPSA-USA Building Simulation Conference · doi:10.26868/25746308.2016.c040 · Cited by 16 · see citing works
Fault detection, diagnosis, and data-driven modeling in HVAC chillers
Namburu, S. M., Luo, J., Azam, M., et al. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.603742 · Cited by 12 · see citing works
Virtual Refrigerant Mass Flow and Power Sensors for Variable-Speed Compressors
Kim, W., & Braun, J. E. (2012) · Purdue e-Pubs (Purdue University System) · Cited by 12 · see citing works
A Methodology for Diagnosing Multiple-Simultaneous Faults in Rooftop Air Conditioners
Li, H., & Braun, J. E. (2004) · Purdue e-Pubs (Purdue University System) · Cited by 11 · see citing works
Noël, D., Rivière, P., Teuillières, C., et al. (2018) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 9 · see citing works
Yuill, D. P., Cheung, H., & Braun, J. E. (2014) · Cited by 8 · see citing works
Prioritizing Building System Energy Failure Modes Using Whole Building Energy Simulation
Otto, K., Eisenhower, B. A., O’Neill, Z. D., et al. (2012) · IBPSA-USA Building Simulation Conference (SimBuild) · doi:10.26868/30680611.2012.09a_1_otto · Cited by 7 · see citing works
DETECTION OF VALVE LEAKAGE IN RECIPROCATING COMPRESSOR USING ARTIFICIAL NEURAL NETWORK (ANN)
Namdeo, R., Manepatil, S., & Saraswat, S. (2008) · Purdue e-Pubs (Purdue University System) · Cited by 5 · see citing works
An Economic Evaluation of Automated Fault Detection and Diagnosis for Rooftop Air Conditioners
Li, H., & Braun, J. E. (2004) · Purdue e-Pubs (Purdue University System) · Cited by 5 · see citing works
Mehrabi, M., & Yuill, D. P. (2016) · Lincoln (University of Nebraska) · Cited by 5 · see citing works
Development of a method for testing air-side fouling effects on outdoor heat exchangers (RP-1705)
Mehrabi, M., & Yuill, D. P. (2018) · Cited by 5 · see citing works
Fault Detection and Diagnosis for Brine to Water Heat Pump Systems
Abuasbeh, M. (2016) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 4 · see citing works
Noël, D., Teuillières, C., & Rivière, P. (2018) · Purdue e-Pubs (Purdue University System) · Cited by 3 · see citing works
Yuill, D. P., Cheung, H., & Braun, J. E. (2014) · Purdue e-Pubs (Purdue University System) · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Raouf, I., Khan, A., Khalid, S., Sohail, M., Azad, M. M., & Kim, H. S. (2022) · Mathematics · doi:10.3390/math10183233 · Cited by 41 · see citing works
- Authors
- Bellanco, I., Fuentes, E., Vallès, M., & Salom, J.
- Affiliations
- Institut de Recerca en Energia de Catalunya (ES)
- Universitat Rovira i Virgili (ES)
- Corresponding author
- Bellanco, I.
- Venue
- Journal of Building Engineering
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 39
- Pages
- 102254
- ISSN
- 2352-7102 (ISSN-L)
- OpenAlex
- W3126389188
- Cited by
- 84
- References
- 76
- Citations by year
- 2026: 7 · 2025: 18 · 2024: 14 · 2023: 21 · 2022: 16 · 2021: 8
- FWCI
- 6.57
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Journal of Building Engineering (publishedVersion)
- Rovira & Virgili repository (submittedVersion, cc-by)
- Funders
- European Social Fund (2019FI_B 00928)
- Horizon 2020 (814888)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Keywords
- heat pumps, fault detection and diagnosis, soft sensors, fault emulation, vapor compression systems, building heating and cooling systems, virtual modeling
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.
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 ›
Are you an author, or do you see a problem with this page? Request a review