Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Liaoning Provincial Department of Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Modeling and Simulation,Civil and Structural Engineering,Control and Systems Engineering
Reference32 articles.
1. Schoen RR, Habetler TG, Kamran F, Bartfield RGJIAITo, (2002) Motor bearing damage detection using stator current monitoring. IEEE Trans Ind Appl 31(6):1274–1279
2. Zhou W, Habetler TG, Harley RG (2007) Bearing condition monitoring methods for electric machines: a general review. Diagnostics for electric machines. Power electronics and drives. SDEMPED. IEEE international symposium
3. Rai A, Upadhyay SH (2016) A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings. Tribol Int 96:289–306
4. Wade A, Smith RB, Systems RJMS (2015) Rolling element bearing diagnostics using the Case Western Reserve University data: a benchmark study. Mech Syst Signal Process 64–65:100–131
5. Siahpour S, Li X, Lee J (2020) Deep learning-based cross-sensor domain adaptation for fault diagnosis of electro-mechanical actuators. Int J Dyn Control 8(3):1054–1062
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