A multi-step progressive fault diagnosis method for rolling element bearing based on energy entropy theory and hybrid ensemble auto-encoder-Reference-Cited by-同舟云学术

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A multi-step progressive fault diagnosis method for rolling element bearing based on energy entropy theory and hybrid ensemble auto-encoder

Published:2019-04 Issue: Volume:87 Page:235-250
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Jiang Wei,Zhou Jianzhong,Liu Han,Shan Yahui

Funder

National Key R&D Program of China

National Natural Science Foundation of China (NSFC)

Natural Science Foundation of Huazhong University of Science and Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference32 articles.

1. Fault diagnosis of rolling element bearing using a new optimal scale morphology analysis method;Yan;ISA Trans,2018

2. Distributed bearing fault diagnosis based on vibration analysis;Dolenc;Mech Syst Signal Process,2016

3. EEMD-based multiscale ICA method for slewing bearing fault detection and diagnosis;Žvokelj;J Sound Vib,2016

4. Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet;Shao;ISA Trans,2017

5. EEMD method and WNN for fault diagnosis of locomotive roller bearings;Lei;Expert Syst Appl,2011

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