Fault detection and diagnosis in a set "inverter-switched reluctance motor" based on pattern recognition using Kalman filter prediction

作者: Ilhem Bouchareb , Amar Bentounsi , Abdesselam Lebaroud

DOI: 10.3233/JAE-141869

关键词: Pattern recognition (psychology)Switched reluctance motorEngineeringCondition monitoringFault (power engineering)Magnetic reluctanceFault detection and isolationPattern recognitionDecision ruleKalman filterArtificial intelligence

摘要: … a diagnosis method based on pattern recognition analysis to … pattern recognition diagnosis of SRM, the training and the decision. The training phase consists in determining the pattern …

参考文章(4)
Ilhem Bouchareb, Amar Bentounsi, Abdesselam Lebaroud, A comparative study of synchronous reluctance and switched reluctance motors for high-performance fault-tolerant applications International Journal of Applied Electromagnetics and Mechanics. ,vol. 39, pp. 793- 799 ,(2012) , 10.3233/JAE-2012-1544
A. Lebaroud, G. Clerc, Classification of Induction Machine Faults by Optimal Time–Frequency Representations IEEE Transactions on Industrial Electronics. ,vol. 55, pp. 4290- 4298 ,(2008) , 10.1109/TIE.2008.2004666
O. Ondel, E. Boutleux, G. Clerc, E. Blanco, FDI based on pattern recognition using Kalman prediction: Application to an induction machine Engineering Applications of Artificial Intelligence. ,vol. 21, pp. 961- 973 ,(2008) , 10.1016/J.ENGAPPAI.2007.11.005
O. Ondel, E. Boutleux, G. Clerc, Adaptive diagnosis by pattern recognition: Application on an induction machine ieee international symposium on diagnostics for electric machines, power electronics and drives. pp. 1- 7 ,(2005) , 10.1109/DEMPED.2005.4662491