Empirical mode decomposition based method for rolling bearing fault diagnosis

Zhendong Gongcheng Xuebao/Journal of Vibration Engineering

Volumn 20, Issue 1, 2007, Pages 15-18

  Gao, Qiang ^a   Du, Xiao Shan ^b   Fan, Hong ^b   Meng, Qing Feng ^b  

^a CHANG'AN UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Empirical mode decomposition; Fault diagnosis; Rolling bearing; Signal processing

Indexed keywords

AMPLITUDE MODULATION; DECOMPOSITION; FAILURE ANALYSIS; FAULT DETECTION; FOURIER TRANSFORMS; FUNCTIONS; SIGNAL PROCESSING; VIBRATIONS (MECHANICAL);

EMPIRICAL MODE DECOMPOSITION; FAULT DIAGNOSIS; INTRINSIC MODE FUNCTION; RACE DAMAGE; ROLLING BEARING;

BEARINGS (MACHINE PARTS);

EID: 34247197673     PISSN: 10044523     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Brown D N. Envelope analysis detects bearing faults before major damage occurs[J]. Pulp and Paper, 1989, 63: 113-117.
2. Radcliff G A. Condition monitoring of rolling element bearings using the enveloping technique[J]. Machine Condition Monitoring, 1990, 23: 55-67.
3. Rubini R, Meneghetti U. Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings[J]. Mechanical Systems and Signal Processing, 2001, 15(2): 287-302.
4. Randall R B, Gao Y. Masking effects in digital envelope analysis of faulty bearing signals[A]. Proceedings of the Sixth International Conference on Vibrations in Rotating Machinery, ImechE[C]. Oxford, 1996, 351-359.
5. Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[A]. Proceedings of the Royal Society Lond[C]. 1998, 454, 903-995.