Search:
Computing and Library Services - delivering an inspiring information environment

Monitoring of Diesel Engine Combustions Based on the Acoustic Source Characterisation of the Exhaust System

Jang, J., Gu, Fengshou, Gennish, R., Moore, Jonathan P., Harris, G. and Ball, Andrew (2008) Monitoring of Diesel Engine Combustions Based on the Acoustic Source Characterisation of the Exhaust System. Mechanical Systems and Signal Processing, 22 (6). pp. 1465-1480. ISSN 08883270

Metadata only available from this repository.

Abstract

Acoustic methods are among the most useful techniques for monitoring the condition of machines. However, the
influence of background noise is a major issue in implementing this method. This paper introduces an effective monitoring
approach to diesel engine combustion based on acoustic one-port source theory and exhaust acoustic measurements. It has
been found that the strength, in terms of pressure, of the engine acoustic source is able to provide a more accurate
representation of the engine combustion because it is obtained by minimising the reflection effects in the exhaust system.
A multi-load acoustic method was then developed to determine the pressure signal when a four-cylinder diesel engine was
tested with faults in the fuel injector and exhaust valve. From the experimental results, it is shown that a two-load acoustic
method is sufficient to permit the detection and diagnosis of abnormalities in the pressure signal, caused by the faults. This
then provides a novel and yet reliable method to achieve condition monitoring of diesel engines even if they operate in high
noise environments such as standby power stations and vessel chambers.

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 > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
Related URLs:
Depositing User: Luyang Guan
Date Deposited: 15 May 2009 15:04
Last Modified: 08 Dec 2010 13:18
URI: http://eprints.hud.ac.uk/id/eprint/4263

Item control for Repository Staff only:

View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©