The condition monitoring of diesel engines using acoustic measurements part 2: Fault detection and diagnosis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

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.

LanguageEnglish
Title of host publicationSAE 2000 World Congress
DOIs
Publication statusPublished - 2000
Externally publishedYes
EventSociety of Automotive 2000 World Congress - Detroit, United States
Duration: 6 Mar 20009 Mar 2000

Publication series

Name
ISSN (Electronic)0148-7191

Conference

ConferenceSociety of Automotive 2000 World Congress
CountryUnited States
CityDetroit
Period6/03/009/03/00

Fingerprint

Condition monitoring
Fault detection
Failure analysis
Diesel engines
Acoustics
Wavelet transforms
Acoustic waves
Wigner-Ville distribution
Failure modes
Deterioration
Engines
Monitoring
Testing

Cite this

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title = "The condition monitoring of diesel engines using acoustic measurements part 2: Fault detection and diagnosis",
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.",
keywords = "Acoustics, Combustion, Condition Monitoring, Fault Detection, Fault Diagnosis, Fuel Injection, Noise, Sound, Time-Frequency Analysis",
author = "Ball, {A. D.} and F. Gu and W. Li",
year = "2000",
doi = "10.4271/2000-01-0368",
language = "English",
booktitle = "SAE 2000 World Congress",

}

Ball, AD, Gu, F & Li, W 2000, The condition monitoring of diesel engines using acoustic measurements part 2: Fault detection and diagnosis. in SAE 2000 World Congress. Society of Automotive 2000 World Congress, Detroit, United States, 6/03/00. https://doi.org/10.4271/2000-01-0368

The condition monitoring of diesel engines using acoustic measurements part 2 : Fault detection and diagnosis. / Ball, A. D.; Gu, F.; Li, W.

SAE 2000 World Congress. 2000.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Li, W.

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KW - Time-Frequency Analysis

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