The theory of wavelet and singular spectrum in the fault diagnosis of rolling bearings

被引：0
|
作者：
Li, F [1 ]
Di, FS [1 ]
Gao, JW [1 ]
Zhang, YT [1 ]
Zhang, XC [1 ]
机构：
[1] Mech Engn Coll, Shijiazhuang 050003, Hebei, Peoples R China
来源：
ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
A noise reduction method based on the characteristic of wavelet analysis and singular spectrum in signals is described in this paper At one time their application are used to analyze the fault characteristic of rolling bearing in the field of fault diagnosis. The application shows this new way can reduce the noise effectively, and enhance the fault characteristic included in the original vibration signal, consequently, improving the level of fault diagnosis of rolling bearing.
引用
收藏
页码：4044 / 4047
页数：4
相关论文
共 50 条
  • [1] Application of scale-wavelet power spectrum to fault diagnosis of rolling bearings
    Cheng, Junsheng
    Yu, Dejie
    Yang, Yu
    Deng, Qianwang
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2004, 17 (01): : 82 - 85
  • [2] Fault diagnosis of rolling bearings based on difference spectrum of singular value and stationary subspace analysis
    Tang, Gui-Ji
    Pang, Bin
    Liu, Shang-Kun
    Zhendong yu Chongji/Journal of Vibration and Shock, 2015, 34 (11): : 83 - 87
  • [3] An Adaptive Spectrum Segmentation Method to Optimize Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis
    Xu, Yonggang
    Zhang, Kun
    Ma, Chaoyong
    Sheng, Zhipeng
    Shen, Hongchen
    IEEE ACCESS, 2019, 7 : 30437 - 30456
  • [4] Application of an impulse response wavelet to fault diagnosis of rolling bearings
    Cheng Junsheng
    Yu Dejie
    Yang Yu
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (02) : 920 - 929
  • [5] Application of continuous wavelet transform to fault diagnosis of rolling bearings
    Cheng, Junsheng
    Yu, Dejie
    Deng, Qianwang
    Yang, Yu
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2003, 14 (23):
  • [6] Fault Feature Enhancement of Rolling Bearings Based on Singular Spectrum Decomposition
    Dou, Chun-Hong
    Wei, Xue-Ye
    Zhang, Jun-Hong
    Hu, Liang
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2018, 39 (04): : 375 - 384
  • [7] Fault Feature Enhancement of Rolling Bearings Based on Singular Spectrum Decomposition
    Dou, Chun-Hong
    Wei, Xue-Ye
    Zhang, Jun-Hong
    Hu, Liang
    Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao, 2018, 39 (04): : 375 - 384
  • [8] A novel method of fault diagnosis for rolling element bearings based on the accumulated envelope spectrum of the wavelet packet
    Jiang, Ruihong
    Liu, Shulin
    Tang, Youfu
    Liu, Yinghui
    JOURNAL OF VIBRATION AND CONTROL, 2015, 21 (08) : 1580 - 1593
  • [9] Teager Energy Spectrum for Fault Diagnosis of Rolling Element Bearings
    Feng, Zhipeng
    Wang, Tianjin
    Zuo, Ming J.
    Chu, Fulei
    Yan, Shaoze
    9TH INTERNATIONAL CONFERENCE ON DAMAGE ASSESSMENT OF STRUCTURES (DAMAS 2011), 2011, 305
  • [10] Fault diagnosis of rolling element bearings with a spectrum searching method
    Li, Wei
    Qiu, Mingquan
    Zhu, Zhencai
    Jiang, Fan
    Zhou, Gongbo
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2017, 28 (09)
12345