An insight concept to select appropriate IMFs for envelope analysis of bearing fault diagnosis

被引:93
作者
Tsao, Wen-Chang [2 ]
Li, Yi-Fan [2 ]
Duc Du Le [2 ]
Pan, Min-Chun [1 ]
机构
[1] Natl Cent Univ, Grad Inst Biomed Engn, Tao Yuan 320, Taiwan
[2] Natl Cent Univ, Dept Mech Engn, Tao Yuan 320, Taiwan
关键词
Envelope analysis; Run-up bench excitation; Bearing fault detection; Intrinsic mode function; Empirical mode decomposition; VIBRATION; EMD;
D O I
10.1016/j.measurement.2012.02.030
中图分类号
T [工业技术];
学科分类号
120111 [工业工程];
摘要
Traditional envelope analysis must examine all the resonant frequency bands during the process of bearing fault detection. To eliminate the above deficiency, this paper presents an insight concept based on the empirical mode decomposition to choose an appropriate resonant frequency band for characterizing feature frequencies of bearing faults by using the envelope analysis subsequently. By the band-pass filtering nature of the empirical mode decomposition, the resonant frequency bands are allocated in a specific intrinsic mode function. The inner or outer ring of bearings scratched intentionally is used to validate the feasibility of the proposed idea, and comparisons with the traditional envelope analysis are addressed. The experimental results show that the proposed insight concept can efficiently and correctly diagnose the bearing fault types. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1489 / 1498
页数:10
相关论文
共 18 条
[1]
The application of energy operator demodulation approach based on EMD in machinery fault diagnosis [J].
Cheng Junsheng ;
Yu Dejie ;
Yang Yu .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (02) :668-677
[2]
Chu SS, 2005, THESIS NATL CENTRAL
[3]
Darlow MS, 1974, 7477 US ARM AIR MOB
[4]
Donelson J. III, 2002, Proceedings of the 2002 ASME/IEEE Joint Railroad Conference (IEEE Cat. No.02CH37356), P95
[5]
Application of the EMD method in the vibration analysis of ball bearings [J].
Du, Qiuhua ;
Yang, Shunian .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (06) :2634-2644
[6]
Hochmann D., 2005, P AER, P1518
[7]
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].
Huang, NE ;
Shen, Z ;
Long, SR ;
Wu, MLC ;
Shih, HH ;
Zheng, QN ;
Yen, NC ;
Tung, CC ;
Liu, HH .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995
[8]
Huang NE, 2005, INTERD MATH SCI, V5, P1
[9]
Bearing Fault Detection Using Envelope Spectrum Based on EMD and TKEO [J].
Hui, Li ;
Zheng, Haiqi .
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS, 2008, :142-+
[10]
Application of synchronous averaging to vibration monitoring of rolling element bearings [J].
McFadden, PD ;
Toozhy, MM .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2000, 14 (06) :891-906