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Automotive Diesel Engine Performance and Condition Monitoring using Downpipe Acoustic Waveform Analysis

Jiang, Xiang, Gu, Fengshou and Ball, Andrew (2008) Automotive Diesel Engine Performance and Condition Monitoring using Downpipe Acoustic Waveform Analysis. In: Inaugural Automotive Researchers' Conference, 8-9 January 2008, University of Huddersfield.

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Abstract

It would seem logical that acoustic signals measured from within a diesel engine’s exhaust pipe would contain useful information for engine monitoring. Preliminary experimental results, however, are found to be influenced significantly by changes in sensor positions and silencer configurations due to acoustic reflections inside the exhaust pipe. In order to suppress the contamination of reflection, this paper develops an effective acoustic method using two sensors mounted along the exhaust pipe. In addition to simulation modelling and theoretical study, experimental investigations are conducted to verify the reliability of this method. The experimental results show that using peak and shape indices of the incident waveforms, derived from measurements of the two sensors, accurate and reliable detection and diagnosis results are obtained for a range of realistic incipient faults under different operating conditions.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Exhaust Acoustics, Reflection Suppression, Diesel Engine; Combustion Diagnosis, Condition Monitoring
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology 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
Related URLs:
Depositing User: Graham Stone
Date Deposited: 28 Apr 2009 13:00
Last Modified: 08 Dec 2010 13:20
URI: http://eprints.hud.ac.uk/id/eprint/4058

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