Research Article
A New Robust Rolling Bearing Vibration Signal Analysis Method
@INPROCEEDINGS{10.1007/978-3-319-73317-3_17, author={Jingchao Li and Yulong Ying and Guoyin Zhang and Zhimin Chen}, title={A New Robust Rolling Bearing Vibration Signal Analysis Method}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Vibration signal processing Holder theory Gray relation theory Fault diagnosis}, doi={10.1007/978-3-319-73317-3_17} }- Jingchao Li
Yulong Ying
Guoyin Zhang
Zhimin Chen
Year: 2018
A New Robust Rolling Bearing Vibration Signal Analysis Method
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_17
Abstract
As bearing vibration signal is of nonlinear and nonstationary characteristics, and the condition-indicating information distributed in the rolling bearing vibration signal is complicated, a new rolling bearing health status estimation approach using holder coefficient and gray relation algorithm was proposed based on bearing vibration signal in the paper. Firstly, the holder coefficient algorithm was proposed for extracting health status feature vectors based on the bearing vibration signals, and secondly the gray relation algorithm was developed for achieving bearing fault pattern recognition intelligently using the extracted feature vectors. At last, the experimental study has illustrated the proposed approach can efficiently and effectively recognize different fault types and in addition different severities with good real-time performance.
