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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: Research Article Rolling Element Bearing Fault Diagnosis Using Laplace-Wavelet Envelope Power Spectrum | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 73629 14 pages doi 10.1155 2007 73629 Research Article Rolling Element Bearing Fault Diagnosis Using Laplace-Wavelet Envelope Power Spectrum Khalid F. Al-Raheem 1 Asok Roy 2 K. P. Ramachandran 1 D. K. Harrison 2 and Steven Grainger2 1 Department of Mechanical and Industrial Engineering Caledonian College of Engineering P. O. Box 2322 CPO Seeb PC 111 Oman 2 School of Engineering Science and Design Glasgow Caledonian University Glasgow G40BA UK Received 1 July 2006 Revised 19 December 2006 Accepted 1 April 2007 Recommended by Alex Kot The bearing characteristic frequencies BCF contain very little energy and are usually overwhelmed by noise and higher levels of macro-structural vibrations. They are difficult to find in their frequency spectra when using the common technique of fast fourier transforms FFT . Therefore Envelope Detection ED has always been used with FFT to identify faults occurring at the BCF. However the computation of the ED is suffering to strictly define the resonance frequency band. In this paper an alternative approach based on the Laplace-wavelet enveloped power spectrum is proposed. The Laplace-Wavelet shape parameters are optimized based on Kurtosis maximization criteria. The results for simulated as well as real bearing vibration signal show the effectiveness of the proposed method to extract the bearing fault characteristic frequencies from the resonant frequency band. Copyright 2007 Khalid F. Al-Raheem 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. 1. INTRODUCTION The predictive maintenance philosophy of using vibration information to lower operating costs and increase machinery availability is gaining acceptance throughout industry. Since most of the machinery in a .
