Bearing fault diagnosis base on multi-scale 2D-CNN model-Reference-Cited by-同舟云学术

Bearing fault diagnosis base on multi-scale 2D-CNN model

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
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Author:

Zhang Jun¹,Zhou Yang²,Wang Bing³,Wu Ziheng⁴

Affiliation:

1. Anhui Provincial Quality Supervision and Inspection Center for Motor Products and Parts,Xuancheng,China

2. School of Electrical and Information Engineering, Anhui University of Technology,Maanshan,China

3. School of Electrical and Information Engineering Anhui University of Technology,Anhui Provincial Key Laboratory of Power Electronics and Motion Control,Maanshan,China

4. Anhui University of Technology,Anhui Provincial Key Laboratory of Power Electronics and Motion Control,Maanshan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730939/9730940/09731081.pdf?arnumber=9731081

Reference13 articles.

1. Bearing Fault Diagnosis Based on Optimal Morlet Wavelet;zhang;Bearing,2009

2. Backpropagation Applied to Handwritten Zip Code Recognition

3. Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study;wade;Mechanical Systems and Signal Processing,2015

4. Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification;chen;Advanced Engineering Informatics,2017

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