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Induction motor stator faults diagnosis by a current concordia pattern-based fuzzy decision system
Open accessAbstract
This paper deals with the problem of detection and diagnosis of induction motor faults. Using the fuzzy logic strategy, a better understanding of heuristics underlying the motor faults detection and diagnosis process can be achieved. The proposed fuzzy approach is based on the stator current Concordia patterns. Induction motor stator currents are measured, recorded, and used for Concordia patterns computation under different operating conditions, particularly for different load levels. Experimental results are presented in terms of accuracy in the detection of motor faults and knowledge extraction feasibility. The preliminary results show that the proposed fuzzy approach can be used for accurate stator fault diagnosis if the input data are processed in an advantageous way, which is the case of the Concordia patterns.
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Citations
Cited by
Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
Nandi, S., Toliyat, H. A., & Li, X. (2005) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2005.847955 · Cited by 2,382
Advances in Diagnostic Techniques for Induction Machines
Bellini, A., Filippetti, F., Tassoni, C., & Capolino, G.-A. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2007527 · Cited by 1,140
Grubic, S., Aller, J. M., Lu, B., & Habetler, T. G. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2004665 · Cited by 490
Giantomassi, A., Ferracuti, F., Iarlori, S., Ippoliti, G., & Longhi, S. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2370936 · Cited by 168
Pietrzak, P., & Wolkiewicz, M. (2021) · Electronics · doi:10.3390/electronics10151786 · Cited by 54
Metadata
- Authors
- Zidani, F., El Hachemi Benbouzid, M., Diallo, D., & Nait-Said, M. S.
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 2003-12
- Volume
- 18
- Issue
- 4
- Pages
- 469-475
- ISSN
- 0885-8969 (ISSN-L)
- OpenAlex
- W2133379087
- Cited by
- 183
- References
- 0
- FWCI
- 12.39
- Type
- journal article
- Language
- en
- Open access
- green
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- Zidani, F., El Hachemi Benbouzid, M., Diallo, D., & Nait-Said, M. S. (2003). Induction motor stator faults diagnosis by a current concordia pattern-based fuzzy decision system. IEEE Transactions on Energy Conversion. https://doi.org/10.1109/tec.2003.815832
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