Interpreting network knowledge with attention mechanism for bearing fault diagnosis-Reference-Cited by-同舟云学术

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Interpreting network knowledge with attention mechanism for bearing fault diagnosis

Published:2020-12 Issue: Volume:97 Page:106829
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Yang Zhi-bo,Zhang Jun-peng,Zhao Zhi-bin,Zhai Zhi,Chen Xue-feng

Funder

National Natural Science Foundation of China

Young Talent fund of University Association for Science and Technology in Shaanxi of China

Natural Science Foundation of Shaanxi province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Software

Reference43 articles.

1. A review on the application of deep learning in system health management;Khan;Mech. Syst. Signal Process.,2018

2. Enhanced sparse period-group lasso for bearing fault diagnosis;Zhao;IEEE Trans. Ind. Electron.,2019

3. Applications of machine learning to machine fault diagnosis: A review and roadmap;Lei;Mech. Syst. Signal Process.,2020

4. Deep learning;LeCun;Nature,2015

5. Convolutional neural network based fault detection for rotating machinery;Janssens;J. Sound Vib.,2016

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