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Online Monitoring of Engine Oil Quality Based on AE Signal Analysis

Elamin, Fathi, Gu, Fengshou and Ball, Andrew (2010) Online Monitoring of Engine Oil Quality Based on AE Signal Analysis. In: Future Technologies in Computing and Engineering: Proceedings of Computing and Engineering Annual Researchers' Conference 2010: CEARC’10. University of Huddersfield, Huddersfield, pp. 116-123. ISBN 9781862180932

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Abstract

This paper studies online condition monitoring of engine oil by analysing the acoustic emission (AE)
signals. The AE signals were measured using an AE sensor mounted on the thrust side between second and third cylinders in a four cylinder diesel engine. The signals were then filtered and
transformed to the frequency domain, where the amplitudes of the different frequency components of the AE waveforms were analysed and compared to the AE baseline signatures. The mean amplitudes
of the spectral components in the frequency band 10kHz to 50kHz were found linearly proportional to
the engine speed and load. It was also found that the RMS values of this frequency band were
affected by the oil viscosity. These results show that it is possible to use AE measurement to predict the quality of lubrication.

Item Type: Book Chapter
Uncontrolled Keywords: Acoustic Emission Monitoring, Condition Monitoring, Diesel Engine, RMS Value.
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Diagnostic Engineering Research Centre
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
School of Computing and Engineering > Automotive Engineering Research Group
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
Related URLs:
Depositing User: Sharon Beastall
Date Deposited: 13 Jan 2011 12:26
Last Modified: 13 Jan 2011 12:26
URI: http://eprints.hud.ac.uk/id/eprint/9322

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