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An adaptive envelope analysis in a wireless sensor network for bearing fault diagnosis using fast kurtogram algorithm

Feng, Guojin, Tian, Xiange, Gu, James Xi, Yang, Dingxin, Gu, Fengshou and Ball, Andrew (2014) An adaptive envelope analysis in a wireless sensor network for bearing fault diagnosis using fast kurtogram algorithm. In: Comadem 2014, 16th - 18th September 2014, Brisbane, Australia.

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Abstract

This paper proposes a scheme to improve the performance of applying envelope analysis in a wireless sensor network for bearing fault diagnosis. The fast kurtogram is realized on the host computer for determining an optimum band-pass filter for the envelope analysis that is implemented on the wireless sensor node to extract the low frequency fault information. Therefore, the vibration signal can be monitored over the bandwidth limited wireless sensor network with both intelligence and real-time performance. Test results have proved that the diagnostic information for different bearing faults can be successfully extracted using the optimum band-pass filter.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
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Depositing User: Cherry Edmunds
Date Deposited: 03 Oct 2014 13:40
Last Modified: 30 Nov 2016 22:56
URI: http://eprints.hud.ac.uk/id/eprint/21924

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