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Gear Transmission Fault Diagnosis Based on the Bispectrum Analysis of Induction Motor Current Signatures

Chen, Zhi, Wang, T., Gu, Fengshou, Haram, Mansaf and Ball, Andrew (2012) Gear Transmission Fault Diagnosis Based on the Bispectrum Analysis of Induction Motor Current Signatures. Journal of Mechanical Engineering, 48 (21). pp. 84-90. ISSN 0577-6686

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Abstract

Motor current signal analysis has been an effective way for many years to monitor electrical machines. However, little research work has been reported in using this technique for monitoring their downstream equipment. The research investigating the characteristics of electrical current signals measured from an induction motor for monitoring faults from a downstream gear transmission system by a novel modulation signal (MS) bispectrum method. Both analytic analysis and experimental study are conducted based on a motor drive system and have found that the increase of bispectral peaks can be the basis of mechanical fault diagnosis. Particularly, a fault on a gear will causes a larger increase of the bispectral peak at both the gear shaft frequency and accompany with a smaller increase in the relating shaft frequency. However, a shaft misalignment only leads to a bispectrum peak increase at the shaft bifrequency along.

Item Type: Article
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
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 > 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
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Depositing User: Cherry Edmunds
Date Deposited: 25 Jan 2013 15:44
Last Modified: 05 Dec 2016 19:44
URI: http://eprints.hud.ac.uk/id/eprint/16589

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