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Research On The Classification For Faults Of Rolling Bearing Based On Multi-Weights Neural Network Cover

Research On The Classification For Faults Of Rolling Bearing Based On Multi-Weights Neural Network

International Journal on Smart Sensing and Intelligent Systems
Volume 7 (2022): Issue 3 (January 2022)
By: Yujian Qiang,  Ling Chen,  Liang Hua,  Juping Gu,  Lijun Ding and  Yuqing Liu  
Open Access
|Sep 2014

Authors

Yujian Qiang

College of Electrical Engineering, Nantong University, Nantong, China

Ling Chen

College of Electrical Engineering, Nantong University, Nantong, China

Liang Hua

College of Electrical Engineering, Nantong University, Nantong, China

Juping Gu

College of Electrical Engineering, Nantong University, Nantong, China

Lijun Ding

College of Electro-mechanics Engineering, Jiaxing University, Jiaxing, China

Yuqing Liu

College of Electrical Engineering, Nantong University, Nantong, China
DOI: https://doi.org/10.21307/ijssis-2017-691 | Journal eISSN: 1178-5608
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Language: English
Page range: 1004 - 1023
Submitted on: Mar 15, 2014
|
Accepted on: Sep 1, 2014
|
Published on: Sep 1, 2014
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
time domain parameter,
multi-weights neural network,
probabilistic neural network (PNN) algorithm,
bearing fault classification
Related subjects:
Engineering,
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© 2014 Yujian Qiang, Ling Chen, Liang Hua, Juping Gu, Lijun Ding, Yuqing Liu, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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