Extraction of rolling bearing fault feature based on time-wavelet energy spectrum

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 47, Issue 17, 2011, Pages 44-49

  Zhang, Jin ^a   Feng, Zhipeng ^b   Chu, Fulei ^a  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

Fault diagnosis; Rolling element bearing; Time wavelet energy spectrum; Wavelet transform

Indexed keywords

BEARING DAMAGE; BEARING ELEMENTS; ENERGY SPECTRA; ENVELOPE DEMODULATION; FAULT FEATURE; FREQUENCY DOMAINS; KEY INDICATOR; LOCALIZED DAMAGE; OUTER RACES; PERIODIC IMPULSE; ROLLING BEARINGS; ROLLING ELEMENT BEARING; TIME DOMAIN; VIBRATION SIGNAL;

BALL BEARINGS; BEARINGS (MACHINE PARTS); DEMODULATION; OPTICAL VARIABLES MEASUREMENT; SPECTROSCOPY; TIRES; VIBRATION ANALYSIS;

TIME DOMAIN ANALYSIS;

EID: 80054681407     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2011.17.044     Document Type: Article

References (11)

1. CHU Fulei, PENG Zhike, FENG Zhipeng, et al. Modern signal processing methods in machinery fault diagnosis[M]. Beijing: Science Press, 2009.
2. FENG Zhipeng, LIU Li, ZHANG Wenming, et al. Fault diagnosis of rolling element bearings based on wavelet time-frequency frame decomposition[J]. Journal of Vibration and Shock, 2008, 27(2): 110-114.
3. PENG Zhike, TSEA P W, CHU Fulei. A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing[J]. Mechanical Systems and Signal Processing, 2005(19): 974-988.
4. MEI Hongbin. Roller bearing vibration monitoring and diagnosis[M]. Beijing: China Machine Press, 1996.
5. ABDULLAH M A, DAVID M. A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size[J]. Mechanical Systems and Signal Processing, 2006, 20: 1537-1571.
6. WANG W J, MCFADDEN P D. Application of orthogonal wavelets to early gear damage detection[J]. Mechanical Systems and Signal Processing, 1995, 9: 497-507.
7. WANG W J, MCFADDEN P D. Application of wavelets to gear box vibration signals for fault detection[J]. Journal of Sound and Vibration, 1996, 192: 927-937.
8. PENG Zhike, HE Yongyong, CHU Fulei. Using wavelet scalogram for vibration signals anaylsis[J]. Chinese Journal of Mechanical Engineering, 2002, 38(3): 122-126.
9. DAUBECHIES I. The wavelet transform, time-frequency localization and signal analysis[J]. IEEE Transactions on Information Theory, 1990, 36(5): 961-1005.
10. YU Dejie, CHENG Junsheng, YANG Yu. Mechanical fault diagnostics based on Hilbert-Huang transform[M]. Beijing: Science Press, 2006.
11. LIN Jing, QU Liangsheng. Feature detection and fault diagnosis based on continuous wavelet transform[J]. Chinese Journal of Mechanical Engineering, 2000, 36(12): 95-100.