Cross‐domain bearing fault diagnosis with refined composite multiscale fuzzy entropy and the self organizing fuzzy classifier
Author:
Affiliation:
1. Department of Mechatronic Engineering Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
2. Department of Mechanical Engineering Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
Funder
Jomo Kenyatta University of Agriculture and Technology
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12307
Reference37 articles.
1. ZhangS ZhangS WangB HabetlerTG. Machine learning and deep learning algorithms for bearing fault diagnostics – a comprehensive review;2019. arXiv e‐prints:1901.08247.
2. Report of large motor reliability survey of industrial and commercial installations;IEEE;IEEE Trans Ind Appl,1985
3. A review of artificial intelligence algorithms used for smart machine tools;Chang C‐W;Inventions,2018
4. Fault detection analysis in rolling element bearing: a review;Gupta P;Mater Today Proc,2017
5. A review of early fault diagnosis approaches and their applications in rotating machinery;Yu W;Entropy,2019
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