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Detection of early faults in rotating machinery based on wavelet analysis

Lim, Meng Hee and Leong, Mohd. Salman (2013) Detection of early faults in rotating machinery based on wavelet analysis. Advances In Mechanical Engineering, 2013 . ISSN 1687-8132


Official URL: http://dx.doi.org/10.1155/2013/625863


This paper explores the application of wavelet analysis for the detection of early changes in rotor dynamics caused by common machinery faults, namely, rotor unbalance and minor blade rubbing conditions. In this paper, the time synchronised wavelet analysis method was formulated and its effectiveness to detect machinery faults at the early stage was evaluated based on signal simulation and experimental study. The proposed method provides a more standardised approach to visualise the current state of rotor dynamics of a rotating machinery by taking into account the effects of time shift, wavelet edge distortion, and system noise suppression. The experimental results showed that this method is able to reveal subtle changes of the vibration signal characteristics in both the frequency content distribution and the amplitude distortion caused by minor rotor unbalance and blade rubbing conditions. Besides, this method also appeared to be an effective tool to diagnose and to discriminate the different types of machinery faults based on the unique pattern of the wavelet contours. This study shows that the proposed wavelet analysis method is promising to reveal machinery faults at early stage as compared to vibration spectrum analysis

Item Type:Article
Uncontrolled Keywords:wavelet analysis, machinery faults, vibration spectrum analysis
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Razak School of Engineering and Advanced Technology
ID Code:50517
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:02 Dec 2015 02:09
Last Modified:27 Sep 2018 04:12

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