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Multi-stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference

Elbarghathi, Fathalla, Tian, Xiange, Tung Tran, Van, Gu, Fengshou and Ball, Andrew (2013) Multi-stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference. In: COMADEM 2013, 11-13 June 2013, Helsinki, Finland. (Submitted)

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Abstract

Although the wavelet analysis is a powerful tool and has been widely used for the vibration signal based gearbox fault diagnosis, there are some limitations that undermine its application. The results of the wavelet transform do not possess time invariant property, which may result in the loss of useful information and decrease the accuracy of fault diagnosis. Other limitations in wavelet transform are the selection of the suitable threshold and the wavelet function. A main challenge of wavelet analysis is the adaptability of the parameters of the mother wavelet to the time variance of the given signal. To overcome this deficiency, an adaptive Morlet wavelet transform method based on the information entropy optimization is proposed in this study. The proposed wavelet transform method is applied for analyzing the vibration signals to detect and diagnose the faults of a helical gearbox. A comparative study which used the kurtosis maximization to adapt the wavelet parameters are also carried out to evaluate the proposed method.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Fathalla Elbarghathi
Date Deposited: 01 Jul 2013 10:26
Last Modified: 10 Dec 2016 03:29
URI: http://eprints.hud.ac.uk/id/eprint/17856

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  • Multi-stages helical gearbox fault detection using vibration signal and Morlet wavelet transform adapted by information entropy difference. (deposited 01 Jul 2013 10:26) [Currently Displayed]

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