Resonant-Frequency Band Choice for Bearing Fault Diagnosis Based on EMD and Envelope Analysis

被引:3
作者
Tsao, Wen-Chang [1 ]
Li, Yi-Fan [1 ]
Pan, Min-Chun [1 ]
机构
[1] Natl Cent Univ, Dept Mech Engn, Chungli 32001, Taoyuan County, Taiwan
来源
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词
Rolling bearings; Fault diagnosis; Empirical mode decomposition (EMD); Envelope analysis; Intrinsic mode function (IMF); Envelope spectrum; Outer-race fault; Inner-race fault; VIBRATION; SPECTRUM;
D O I
10.1109/WCICA.2010.5554905
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study presents a novel method based on the empirical mode decomposition (EMD) and the envelope analysis for the fault detection of rolling bearings. The main purpose is to overcome the traditional envelope method in the choosing of the resonant frequency band. First, the EMD method is adaptively to decompose the vibration signals into a series of the intrinsic mode function (IMF). Then, the decision of the resonant frequency band relies on the overlap frequency which compares the resonant frequency spectrum with the spectrum of each IMF. Finally, the interest of IMF is selected and executed the envelope analysis. Therefore, the envelope spectrum is obtained to diagnose the bearing faults. Two types of the rolling bearing fault, the outer-race fault and the inner-race fault, are analyzed by the presented method. The experimental results show that the proposed method can efficiently diagnose for the fault detection of the rolling bearing.
引用
收藏
页码:1289 / 1294
页数:6
相关论文
共 19 条
  • [1] [Anonymous], 1994, REV ROLLING ELEMENT
  • [2] The application of energy operator demodulation approach based on EMD in machinery fault diagnosis
    Cheng Junsheng
    Yu Dejie
    Yang Yu
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (02) : 668 - 677
  • [3] Chu S. S., 2005, THESIS NCU
  • [4] Cohen L., 1995, TIME FREQUENCY ANAL
  • [5] Darlow M.S., 1974, 7477 USA AIR MOB RES
  • [6] Donelson J. III, 2002, Proceedings of the 2002 ASME/IEEE Joint Railroad Conference (IEEE Cat. No.02CH37356), P95
  • [7] Application of the EMD method in the vibration analysis of ball bearings
    Du, Qiuhua
    Yang, Shunian
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (06) : 2634 - 2644
  • [8] Hochmann D., 2005, P AER, P1518
  • [9] The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    Huang, NE
    Shen, Z
    Long, SR
    Wu, MLC
    Shih, HH
    Zheng, QN
    Yen, NC
    Tung, CC
    Liu, HH
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971): : 903 - 995
  • [10] Huang NE, 2005, INTERD MATH SCI, V5, P1