A Fault Diagnosis Method Based on EMD-SVM with Multi-Feature Fusion via Sound Signals-Reference-Cited by-同舟云学术

A Fault Diagnosis Method Based on EMD-SVM with Multi-Feature Fusion via Sound Signals

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)
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Author:

Yin Xiaojing¹,He Qiangqiang¹,Peng Shouxin¹,Zhang Yu¹,Zhang Bangcheng¹

Affiliation:

1. Changchun University of Technology,School of Mechanical and Electrical Engineering,Changchun,China,130012

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872150/9872152/09872243.pdf?arnumber=9872243

Reference22 articles.

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2. Research on rolling element bearing fault diagnosis based on empirical mode decomposition and correlated kurtosis;zhu;Journal of Wuhan University of Technology (Transportation Science & Engineering),2014

3. Method of vibration signal eigenvalue selection by correlation coefficient diagram;li;Modern Electronics Technique,2020

4. A new health estimation model for CNC machine tool based on infinite irrelevance and belief rule base

5. An adaptive multi-sensor data fusion method based on deep convolutional neural networks for fault diagnosis of planetary gearbox;jing;SENSORS,2017

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