Rolling Bearing Fault Diagnosis based on Wavelet and Deep Wavelet Auto-encoder

Rolling Bearing Fault Diagnosis based on Wavelet and Deep Wavelet Auto-encoder

Aiming at the problem that it is difficult to accurately identify the fault severities and compound faults of rolling bearings，a method based on lifting dual-tree complex wavelet packet（LDTCWP）and deep wavelet auto-encoder （DWAE） is proposed. Firstly，the transfer learning strategy is introduced to e...

Bibliografiset tiedot
Päätekijät:	Xiaolei Du, Zhigang Chen, Nan Zhang, Xingguo Guo
Aineistotyyppi:	Artikkeli
Kieli:	zho
Julkaistu:	Editorial Office of Journal of Mechanical Transmission 2019-09-01
Sarja:	Jixie chuandong
Aiheet:	Rolling bearing Lifting dual-tree complex wavelet packet Deep wavelet auto-encoder Transfer learning Fault diagnosis
Linkit:	http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.09.017

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