Appropriate IMFs associated with cepstrum and envelope analysis for ball-bearing fault diagnosis

Wen-Chang Tsao; Min-Chun Pan

doi:10.1117/12.2046172

9 March 2014 Appropriate IMFs associated with cepstrum and envelope analysis for ball-bearing fault diagnosis

Wen-Chang Tsao, Min-Chun Pan

Proceedings Volume 9057, Active and Passive Smart Structures and Integrated Systems 2014; 905737 (2014) https://doi.org/10.1117/12.2046172
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

Abstract

The traditional envelope analysis is an effective method for the fault detection of rolling bearings. However, all the resonant frequency bands must be examined during the bearing-fault detection process. To handle the above deficiency, this paper proposes using the empirical mode decomposition (EMD) to select a proper intrinsic mode function (IMF) for the subsequent detection tools; here both envelope analysis and cepstrum analysis are employed and compared. By virtue of the band-pass filtering nature of EMD, the resonant frequency bands of structure to be measured are captured in the IMFs. As impulses arising from rolling elements striking bearing faults modulate with structure resonance, proper IMFs potentially enable to characterize fault signatures. In the study, faulty ball bearings are used to justify the proposed method, and comparisons with the traditional envelope analysis are made. Post the use of IMFs highlighting faultybearing features, the performance of using envelope analysis and cepstrum analysis to single out bearing faults is objectively compared and addressed; it is noted that generally envelope analysis offers better performance.

Citation Download Citation

Wen-Chang Tsao and Min-Chun Pan "Appropriate IMFs associated with cepstrum and envelope analysis for ball-bearing fault diagnosis", Proc. SPIE 9057, Active and Passive Smart Structures and Integrated Systems 2014, 905737 (9 March 2014); https://doi.org/10.1117/12.2046172

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