A new bearing fault diagnosis method based on modified convolutional neural networks-Reference-Cited by-同舟云学术

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A new bearing fault diagnosis method based on modified convolutional neural networks

Published:2020-02 Issue:2 Volume:33 Page:439-447
ISSN:1000-9361
Container-title:Chinese Journal of Aeronautics
language:en
Short-container-title:Chinese Journal of Aeronautics

Author:

ZHANG Jiangquan,SUN Yi,GUO Liang,GAO Hongli,HONG Xin,SONG Hongliang

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Planning Project of Science & Technology Department of Sichuan Province

Publisher

Elsevier BV

Subject

Mechanical Engineering,Aerospace Engineering

Reference38 articles.

1. Big data for modern industry: Challenges and trends;Yin;Proc IEEE,2015

2. A survey of fault diagnosis and fault-tolerant techniques–Part I: Fault diagnosis with model-based and signal-based approaches;Gao;IEEE Trans Ind Electron,2015

3. Condition monitoring and fault diagnosis of planetary gearboxes: A review;Lei;Measurement,2014

4. Nonlinear dynamic modeling of a helicopter planetary gear train for carrier plate crack fault diagnosis;Fan;Chinese J Aeronaut,2016

5. Fault diagnosis of an intelligent hydraulic pump based on a nonlinear unknown input observer;Ma;Chinese J Aeronaut,2018

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