The bearing fault diagnosis of rotating machinery by using Hilbert-Huang transform

2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings

Volumn , Issue , 2011, Pages 6238-6241

  Wu, Tian Yau ^a   Wang, Chun Chieh ^b   Chung, Yu Liang ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

Author keywords

Amplitude modulation; Bearing fault; Hilbert Huang Transform

Indexed keywords

BEARING FAULT; BEARING FAULT DIAGNOSIS; DECOMPOSITION PROCESS; END EFFECTS; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FAULT FEATURE; HILBERT HUANG TRANSFORMS; INTRINSIC MODE FUNCTIONS; POST PROCESSING;

AMPLITUDE MODULATION; BEARINGS (STRUCTURAL); ELECTRIC FAULT CURRENTS; MACHINERY; SIGNAL PROCESSING;

MATHEMATICAL TRANSFORMATIONS;

EID: 79959866751     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEICE.2011.5777908     Document Type: Conference Paper

References (3)

1. Wu, Z. and Huang, N. E., "Ensemble Empirical Mode Decomposition: a noise-assisted data analysis method," Advances in Adaptive Data Analysis, Vol. 1, No. 1, pp. 1-41, 2009.
2. T Y Wu, Y L Chung, "Misalignment diagnosis of rotating machinery through vibration analysis via the hybrid EEMD and EMD approach," Smart Materials and Structures, Vol. 18, 095004(13pp), 2009.
3. Patrick Flandrin, Gabriel Rilling, Paulo Gonçalvés, "Empirical mode decomposition as a filter bank", IEEE SIGNAL PROCESSING LETTERS, Vol. 11, No. 2, 2004