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http://dx.doi.org/10.5916/jkosme.2012.36.2.258

Comparison of Hilbert and Hilbert-Huang Transform for The Early Fault Detection by using Acoustic Emission Signal  

Gu, Dong-Sik (창원문성대학 조선학부)
Lee, Jong-Myeong (경상대학교 대학원 정밀기계공학과)
Lee, Jung-Hoon (경상대학교 대학원 정밀기계공학과)
Ha, Jung-Min (경상대학교 대학원 정밀기계공학과)
Choi, Byeong-Keun (경상대학교 에너지기계공학과, 해양산업연구소)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.36, no.2, 2012 , pp. 258-266 More about this Journal
Abstract
Recently, Acoustic Emission (AE) technique is widely applied to develop the early fault detection system, and the problem about a signal processing method for AE signal is mainly focused on. In the signal processing method, envelope analysis is a useful method to evaluate the rolling element bearing problems and Wavelet transform is a powerful method to detect faults occurred on gearboxes. However, exact method for AE signal is not developed yet. Therefore, in this paper, two methods, which is Hilbert transforms (HT) and Hilbert-Huang transforms (HHT), will be compared for development a signal processing method for early fault detection system by using AE. AE signals were measured through a fatigue test. HHT has better advantages than HT because HHT can show the time-frequency domain result. But, HHT needs long time to process a signal, which has a lot of data, and has a disadvantage in de-noising filter.
Keywords
Acoustic emission; Signal processing; Hilbert transforms; Hilbert-huang transforms; Fatigue test;
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Times Cited By KSCI : 2  (Citation Analysis)
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