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The Condition Monitoring of Diesel Engines Using Acoustic Measurements-Part 2: Fault Detection and Diagnosis

Gu, Fengshou, Ball, Andrew and Li, W (2000) The Condition Monitoring of Diesel Engines Using Acoustic Measurements-Part 2: Fault Detection and Diagnosis. SAE Technical Papers. ISSN 0148-7191

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Abstract

In this paper, the focus is upon the condition monitoring implications of acoustic monitoring. Namely, its ability to detect, diagnose and locate incipient deterioration in a number of common failure modes. To improve the reliability of the condition monitoring procedures, the noise contaminated signals are conditioned based upon the results of speed and load dependency investigation of the identified low and high frequency regions of sound. High pass filtering is shown to eliminate much of the environmental dependency of the monitored signals, whilst retaining the pertinent condition indicating information content. Real fault testing shows that the location of different faults, their influences upon combustion, and the ability to distinguish between them can all be extracted from the shape of the contours in the Continuous Wavelet Transform (CWT).

The sister paper to this (""Part 1 - Acoustic Characteristics of the Engine and Representation of the Acoustic Signals""), the sound generation of a diesel engine is modelled based upon the combustion process. Real monitored data is shown to be highly contaminated, and the representation of acoustic signals using the smoothed pseudo-Wigner-Ville distribution (SPWVD) and continuous wavelet transform (CWT), however, is found to permit recognition of the adverse influences of the measurement environment.

Item Type: Article
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 > 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: Sharon Beastall
Date Deposited: 20 Jan 2010 13:11
Last Modified: 08 Dec 2010 13:39
URI: http://eprints.hud.ac.uk/id/eprint/6806

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