A Bearing Fault Diagnosis Method Based on Improved Deep Residual Contraction Network
Author:
Affiliation:
1. Huaiyin insititute of technology,Faculty of computer and software engineering,Huai’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420525/10420529/10420814.pdf?arnumber=10420814
Reference12 articles.
1. A Survey on Fault Diagnosis of Rolling Bearings
2. A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
3. Research on Fault Diagnosis Technology Based on Deep Learning
4. A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations
5. A self-adaptive DRSN-GPReLU for bearing fault diagnosis under variable working conditions
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