Intelligent fault diagnosis system based on big data
Author:
Affiliation:
1. College of Computer ScienceChongqing UniversityChongqing 400044People's Republic of China
2. Chongqing Chuanyi Automation Co., Ltd.Chongqing 401121People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,Energy Engineering and Power Technology,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.9162
Reference21 articles.
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2. Review on fault prognostic methods based on uncertainty;Sun Q.;Control Decis..,2007
3. A review on machinery diagnostics and prognostics implementing condition‐based maintenance;Jardine A.K. S.;Mech. Syst. Signal Process.,2006
4. Support vector machine in machine condition monitoring and fault diagnosis;Widodo A.;Mech. Syst. Signal Process.,2007
5. Fault diagnosis of rotating machinery based on auto‐associative neural networks and wavelet transforms;Sanz J.;J. Sound Vib.,2007
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