Diagnosing Faults in Rolling Bearings of an Air Compressor Set Up Using Local Mean Decomposition and Support Vector Machine Algorithm

Author:

Dhakar Atul,Singh Bhagat,Gupta PankajORCID

Publisher

Springer Science and Business Media LLC

Reference23 articles.

1. Ruonan L, Boyuan Y, Enrico Z, Xuefeng C (2018) Artificial intelligence for fault diagnosis of rotating machinery: a review. Mech Syst Signal Process 108:33–47

2. Verma NK, Salour AL (2020) Intelligent condition based monitoring. Springer, New York

3. Zuyu Y, Jian H (2016) Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes. Neurocomputing 174:643–650

4. Verma NK, Sevakula RK, Dixit S, Salour AL (2015) Intelligent condition based monitoring using acoustic signals for air compressors. IEEE Trans Reliab 99:1–19

5. Delio T, Tlusty J, Smith S (1992) Use of audio signals for chatter detection and control. J Manuf Sci E T ASME 114(2):146–157

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