Fault Diagnosis of Bearing Based on Wavelet Packet Transform-Phase Space Reconstruction-Singular Value Decomposition and SVM Classifier
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-016-2406-x.pdf
Reference15 articles.
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3. Frosini, L.; Bassi, E.: Stator current and motor efficiency as indicators for different types of bearing faults in induction motors. IEEE Trans. Ind. Electron. 57(1), 244–251 (2010)
4. Stack, J.R.; Habetler, T.G.; Harley, R.G.: Fault classification and fault signature production for rolling element bearings in electric machines. IEEE Trans. Ind. Appl. 40(3), 735–739 (2004)
5. Mbo’o, C.P.; Hameyer, K.: Fault diagnosis of bearing damage by means of the linear discriminant analysis of stator current features from the frequency selection. IEEE Trans. Ind. Appl. 52(5), 3861–3868 (2016)
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