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Bearing defect detection and diagnosis using a time encoded signal processing and pattern recognition method

Abdusslam, S.A., Raharjo, Parno, Gu, Fengshou and Ball, Andrew (2012) Bearing defect detection and diagnosis using a time encoded signal processing and pattern recognition method. Journal of Physics: Conference Series, 364. 012036. ISSN 1742-6596

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Abstract

Many new bearing monitoring and diagnosis methods have been explored in the last two decades to provide a technique that is capable of picking up an incipient bearing fault. Vibration analysis is a commonly used condition monitoring technique in world industry and has proved an effective method for rolling bearing monitoring systems. The focus of this paper is to combine two conventional methods: wavelet transform and envelope analysis with the Time Encoded Signal Processing and Recognition (TESPAR) to develop a better technique for detection of small bearing faults. Results show that TESPAR with these two combinations provides good fault discrimination in terms of location and severity for different bearing conditions.

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 > 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
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Depositing User: Cherry Edmunds
Date Deposited: 11 Jul 2012 09:04
Last Modified: 11 Jul 2012 09:04
URI: http://eprints.hud.ac.uk/id/eprint/14190

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