Decision fusion scheme for bearing defects diagnosis in induction motors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-020-01024-4.pdf
Reference36 articles.
1. Nandi S, Toliyat HA, Li X (2005) Condition monitoring and fault diagnosis of electrical motors—a review. IEEE Trans Energy Conv 20(4):719–729
2. Benbouzid M (1999) Bibliography on induction motors faults detection and diagnosis. IEEE Trans Energy Conv 14(4):1065–1074
3. Riera-Guasp M, Antonino-Daviu JA, Capolino G-A (2014) Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: state of the art. IEEE Trans Ind Electron 62(3):1746–1759
4. Singleton RK, Strangas EG, Aviyente S (2016) The use of bearing currents and vibrations in lifetime estimation of bearings. IEEE Trans Ind Inf 13(3):1301–1309
5. Cococcioni M, Lazzerini B, Volpi SL (2012) Robust diagnosis of rolling element bearings based on classification techniques. IEEE Trans Ind Inf 9(4):2256–2263
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