tailieunhanh - Báo cáo hóa học: " Research Article Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 842879 10 pages doi 2010 842879 Research Article Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection Shibin Wang Z. K. Zhu Yingping He and Weiguo Huang School of Urban Rail Transportation Soochow University Suzhou 215006 China Correspondence should be addressed to Z. K. Zhu zkzhu@ Received 26 July 2010 Accepted 22 October 2010 Academic Editor . Li Copyright 2010 Shibin Wang et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Localized defects in rotating mechanical parts tend to result in impulse response in vibration signal which contain important information about system dynamics being analyzed. Thus parameter identification of impulse response provides a potential approach for localized fault diagnosis. A method combining the Morlet wavelet and correlation filtering named Cyclic Morlet Wavelet Correlation Filtering CMWCF is proposed for identifying both parameters of impulse response and the cyclic period between adjacent impulses. Simulation study concerning cyclic impulse response signal with different SNR shows that CMWCF is effective in identifying the impulse response parameters and the cyclic period. Applications in parameter identification of gearbox vibration signal for localized fault diagnosis show that CMWCF is effective in identifying the parameters and thus provides a feature detection method for gearbox fault diagnosis. 1. Introduction Rotating machines play an important role in many industrial applications such as aircraft engines automotive transmission systems and wind power generation. Most of the machinery was operated by means of gears and other rotating parts which may develop faults. The study of .