Adaptive resonance demodulation method and its application to fault diagnosis of freight car rolling bearings

Zhendong yu Chongji/Journal of Vibration and Shock

Volumn 26, Issue 1, 2007, Pages 38-41

  Liu, Jinzhao ^a   Ding, Xiawan ^b   Wang, Chengguo ^a  

^a CHINA ACADEMY OF RAILWAY SCIENCES CORPORATION LIMITED   (China)

^b MINZU UNIVERSITY OF CHINA   (China)

Author keywords

Adaptive resonance demodulation; Fault diagnosis; Freight car rolling bearings; Lp norm; Refined Fourier technique; Time frequency analysis

Indexed keywords

APPLICATIONS; BANDPASS FILTERS; BEARINGS (MACHINE PARTS); FOURIER TRANSFORMS; FREIGHT CARS; WAVELET TRANSFORMS;

ADAPTIVE RESONANCE DEMODULATION; FAULT DIAGNOSIS; FREIGHT CAR ROLLING BEARINGS; REFINED FOURIER TECHNIQUE; TIME-FREQUENCY ANALYSIS;

FAILURE ANALYSIS;

EID: 33947518525     PISSN: 10003835     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Tandon N, Choudhury A. A review of vibration and acoustic measurement methods for the detection of defects in rolling eleraent bearings[J]. Tribology International, 1999, 32: 469-480.
2. Ho D, Randall R B. Optimization of bearing diagnostic techniques using simulated and actual bearings fault signals[J]. Mechanical systems and signal processing, 2000, 14: 763-788.
3. Nikolaou N G, Antoniadis I A. Demodulation of vibration of vibration signals generated by defects in rolling element bearing using complex shifted morlet wavelet[J]. Mechanical system and signal processing, 2002, 16(4): 667-694.
4. Mcfadden P D, Smith J D. Model of the vibration produced by a single point defect in a rolling element bearing[J]. Journal of Sound and Vibration, 1984, 96: 69-82.
5. Cohen L. Time-frequency analysis[M]. Prentice-Hall, Englewood Cliffs, N. J, 1995.
6. Huang N E, Shen Z, Long S R. et. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Processing of royal society of London A, 1998, 454: 903-995.
7. Choi H I, Williams W J. Improved time-frequency representation of multi-component signals using exponential kernels[J]. IEEE Trans. on Acoustics., Speech, Signal Processing, 1989, 35: 862-871.
8. Liu B, Sherman D R, Shen Z. A Fast Adaptive Time-Frequency Analysis Method and it's Application in Vibration Analysis. submitted for publication, 2004.
9. Imed Khemili and Mnaouar Chouchane. Detection of rolling element bearing defects by adaptive filtering[J]. European Journal of Mechanics A/Solid, 2005, 24: 293-303.