Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

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
Jingchao Li, Yulong Ying1,*, Guoyin Zhang2, Zhimin Chen3
  • 1: Shanghai University of Electric Power
  • 2: Harbin Engineering University
  • 3: Shanghai Dianji University
*Contact email: yingyulong060313@163.com

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.