Fault diagnosis of rolling bearings in multiple conditions based on EMD and PSO-SVM-Reference-Cited by-同舟云学术

Fault diagnosis of rolling bearings in multiple conditions based on EMD and PSO-SVM

Published:2021-07-29 Issue: Volume: Page:
ISSN:
Container-title:2021 6th International Conference on Intelligent Information Processing
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Author:

Li ZhiHao¹,Zhang LiePing¹,Zhang Xin¹,Li Rita Yi Man²

Affiliation:

1. Guilin University of Technology, China

2. Hong Kong Shue Yan University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3480571.3480594

Reference15 articles.

1. Rolling bearing fault diagnosis based on empirical mode decomposition and support vector machine[J];Xu K;Control Theory and Applications,2019

2. Research on the extraction method of oil pipeline leakage signal characteristics based on improved EMD[J];Zhao L.Q;Chinese Journal of Scientific Instrument,2013

3. Early fault diagnosis method for rotating machinery based on multivariate empirical mode decomposition[J];Wu Z;Chinese Journal of Scientific Instrument,2016

4. Rolling bearing fault diagnosis method using GA-BP algorithm and EMD [J];Wang L.J;Coal Mine Machinery,2019

5. Rolling bearing fault diagnosis based on principal component analysis and support vector machine classification model [J];Han S;Science Technology and Engineering,2021

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