Impact feature extraction from rolling bearing fault signal by S transform

被引：0
|
作者：
Guo, Yuanjing [1 ]
Wei, Yanding [1 ]
Zhou, Xiaojun [1 ]
Fu, Lei [1 ]
机构：
[1] Institute of Advanced Manufacturing Engineering, Zhejiang University, Hangzhou,310027, China
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2014年 / 34卷 / 05期
关键词：
Fault detection - Feature extraction - Processing - Signal processing - Wavelet transforms - Ball bearings - Fast Fourier transforms - Signal to noise ratio - Extraction - Failure analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：818 / 822
相关论文
共 50 条
  • [1] Impact feature extraction from rolling bearing fault signal by synchrosqueezed S-transform
    Pan G.-Y.
    Li S.-M.
    An Z.-H.
    Zeng Y.
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2020, 33 (02): : 433 - 440
  • [2] Incipient Fault Feature Extraction of Rolling Bearing Based on Signal Reconstruction
    Lv, Xu
    Zhou, Fengxing
    Li, Bin
    Yan, Baokang
    ELECTRONICS, 2023, 12 (18)
  • [3] Feature Extraction of Rolling Bearing Fault Diagnosis
    Sun Lijie
    Zhang Li
    Yang Yongbo
    Zhang Dabo
    Wu Lichun
    DIGITAL MANUFACTURING & AUTOMATION III, PTS 1 AND 2, 2012, 190-191 : 993 - 997
  • [4] Fault feature extraction method for rolling bearing based on MVMD and complex Fourier transform
    Huang, Chuanjin
    Song, Haijun
    JOURNAL OF VIBROENGINEERING, 2023, 25 (02) : 269 - 289
  • [5] Bearing fault signal feature extraction based on SVD and Generalized S-Transform Module Matrix
    Qi, Peng
    Fan, Yugang
    Wu, Jiande
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 2780 - 2785
  • [6] Feature extraction of rolling bearing fault signal of: rolling mill based on wavelet packet denoising method
    Xia, Bingxin
    Shang, Li
    Fan, Lei
    Wang, Dan
    Xing, Zhihui
    Li, Jiping
    SECOND IYSF ACADEMIC SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING, 2021, 12079
  • [7] Feature Extraction for Weak Fault of Rolling Bearing Based on Hybrid Signal Processing Technique
    Yang Bao-Ping
    Ding Ru-Chun
    Zhou Feng-Xing
    Xu Bo
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 188 - 195
  • [8] Rolling bearing fault feature extraction using Adaptive Resonancebased Sparse Signal Decomposition
    Wang, Kaibo
    Jiang, Hongkai
    Wu, Zhenghong
    Cao, Jiping
    ENGINEERING RESEARCH EXPRESS, 2021, 3 (01):
  • [9] Fault Feature Extraction of Rolling Bearing Based on LFK
    Yu He
    Li Hongru
    Sun Jian
    PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS, 2016, 81 : 642 - 646
  • [10] Fault feature extraction method for rolling bearing based on wavelet transform optimized by continuous kurtosis
    Feng, Yi
    Cao, Jin-Ran
    Lu, Bao-Chun
    Zhang, Deng-Feng
    Zhendong yu Chongji/Journal of Vibration and Shock, 2015, 34 (14): : 27 - 32
12345