Wigner-Ville distribution based on EMD for faults diagnosis of bearing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4223 LNAI, Issue , 2006, Pages 803-812

  Hui, Li ^a   Haiqi, Zheng ^a   Liwei, Tang ^a  

^a MECHANICAL ENGINEERING COLLEGE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; FAULT TOLERANT COMPUTER SYSTEMS; FREQUENCY DOMAIN ANALYSIS; FUNCTIONS; TIME DOMAIN ANALYSIS;

EMPIRICAL MODE DECOMPOSITION; INTRINSIC MODE FUNCTIONS (IMF); WIGNER-VILLE DISTRIBUTION (WVD);

SIGNAL PROCESSING;

EID: 33750562955     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (4)

1. Cohen L.: Time-frequency Analysis. Prentice-Hall, Englewood Cliffs, NJ. (1995)
2. James Li C., Ma Jun: Wavelet decomposition of vibration for detection of bearing-localized defects. NDT&E International. 30(1997)143-149
3. Staszewski W.J., Worden K., Tomlinson G.R.: The-frequency analysis in gearbox fault detection using the Wigner-Ville distribution and pattern recognition. Mechanical Systems and Signal Processing. 11 (5)( 1997)673-692
4. Huang N.E, et al :The empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis. Proceeding of Royal Society London. A(1998)454:903-995