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Measurement and Characterisation of Faults in the Intake System of a Turbocharged Engine Using a Directional Acoustic Probe

Mishra, Rakesh, Gu, Fengshou, Fazenda, Bruno, Stubbs, Christopher and Ball, Andrew (2009) Measurement and Characterisation of Faults in the Intake System of a Turbocharged Engine Using a Directional Acoustic Probe. In: Proceedings of COMADEM 2009. Condition Monitoring and Diagnostic Engineering Management (COMADEM). ISBN 9788493206468

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Abstract

Engine intake system leaks are a primary reason behind unsatisfactory operational and emission characteristics of
turbocharged engines. In faulty conditions, the intake mass flow sensed by the mass flow sensor does not reach the
combustion chamber, resulting in a less than required air fuel mass ratio. This may result in increased emissions along
with unsatisfactory performance of exhaust gas recirculation system. In the present work, an acoustic sniffer system
has been developed which identifies the presence and location of leaks in the intake system. The acoustic sniffer
system uses a directional acoustic probe which records acoustic signatures of the leaks and positively identifies their
presence. The sound pressure level data obtained from the acoustic probe is converted into frequency domain by FFT.
Frequencies corresponding to the leaks are then identified in different octave bands. Experimental work on a four
stroke 4.3 litre diesel engine demonstrates that the sniffer could be used to identify and quantify the leaks in the engine
system. The system performs satisfactorily on a variety of leaks created in the intake system. It has also been found
that sound pressure levels and frequency bands corresponding to different leaks could be used to estimate the amount
of gas leaked from the system. This acoustics based system provides a simple and yet reliable method for leak
diagnosis in engine intake system.

Item Type: Book Chapter
Additional Information: Paper presented at COMADEM 2009, San Sebastian, Spain, 9 - 11 June 2009, Oral Session 16 Fault detection, Thursday, 11th June, 2009
Subjects: T Technology > T Technology (General)
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 > Pedagogical 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 > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
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Depositing User: Sara Taylor
Date Deposited: 19 May 2009 16:36
Last Modified: 24 Jun 2011 09:29
URI: http://eprints.hud.ac.uk/id/eprint/4413

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