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Detection of Diesel Engine Injector Faults Using Acoustic Emissions

Elamin, Fathi, Fan, Yibo, Gu, Fengshou and Ball, Andrew (2010) Detection of Diesel Engine Injector Faults Using Acoustic Emissions. In: COMADEM 2010: Advances in Maintenance and Condition Diagnosis Technologies towards Sustainable Society, 28th June-2nd July 2010, Nara, Japan. (Unpublished)

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Abstract

This study investigated the method of identifying injector faults in a JCB 444T2 diesel engine using
acoustic emission (AE) technique. Different kinds of injector faults were seeded in the four-cylinder, four-stroke, and turbo-engine. The AE signals recorded from the tests were processed in the angular domain, frequency and joint angular-frequency domain. The results showed that AE could clearly monitor the combustion process of diesel engine because high frequency AE signal measured from engine cylinder head has very high signal-to-noise ratio. Using features in the AE signal, faults of injector can be identified during the operation of the engine.

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
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: 24 Jun 2010 14:14
Last Modified: 04 Nov 2015 23:45
URI: http://eprints.hud.ac.uk/id/eprint/7936

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