A Rolling Bearing Fault Diagnosis Method based on improved MFE and WOA-PNN-Reference-Cited by-同舟云学术

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A Rolling Bearing Fault Diagnosis Method based on improved MFE and WOA-PNN

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)
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Author:

Luo Zhiyong¹,Zhu Guangming¹,Dong Xin¹,Tan Hongkai¹,Li Jialin¹

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Advanced Manufacturing Engineering,Chongqing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10081934/10081946/10082690.pdf?arnumber=10082690

Reference30 articles.

1. Fault Diagnosis of Rolling Bearing Based on k-Optimized VMD;wang;Zhendong Ceshi Yu Zhenduan/Journal of Vibration Measurement and Diagnosis,2018

2. Gas Pipeline Leak Detection Based on Improved VMD Algorithm;liang;Journal of Jilin University (Information Science Edition),2019

3. Structural health monitoring for mechanical structures using multi-sensor data

4. Incipient fault diagnosis of rolling bearings based on adaptive variational mode decomposition and Teager energy operator;ran;Measurement,2019

5. Transformer fault diagnosis based on BP-Ada boost and PNN series connection;yan;Math Probl Eng,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing Bearing Fault Diagnosis under Variable Working Conditions: A CEEMDAN-SBS Approach with Vibro-Electric Signal Integration;2023-12-29

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