Machine-Learning Based Fault Diagnosis of Electrical Motors Using Acoustic Signals
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-8530-2_52
Reference16 articles.
1. Dineva A, Mosavi A, Gyimesi M, Vajda I, Nabipour N, Rabczuk T (2019) Fault diagnosis of rotating electrical machines using multi-label classification. Appl Sci 9
2. El Hachemi Benbouzid M (2000) A review of induction motors signature analysis as a medium for faults detection. IEEE Trans Ind Electroni 47(5):984–993
3. Vigneshkumar S, Shankar VK, Krishna PN, Supriya, P (2018) Fault detection in gearbox using motor electrical signature analysis. In: 9th international conference on computing, communication and networking technologies, Bangalore, pp 1–6
4. Seera M, Lim CP, Ishak D, Singh H (2012) Fault detection and diagnosis of induction motors using motor current signature analysis and a hybrid FMM–CART mode. IEEE Trans Neural Netw Learn Syst 23(1):97–108
5. Guo H, Liu M (2018) Induction motor faults diagnosis using support vector machine to the motor current signature. In: IEEE Industrial Cyber-Physical Systems (ICPS), St. Petersburg, pp 417–421
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