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Diesel Engine Air-borne Acoustic Signals Analysis Using Continuous Wavelet Transform

Diesel Engine Air-borne Acoustic Signals Analysis Using Continuous Wavelet Transform This paper studies the characteristics of Diesel engine air-borne acoustic signals using time-frequency domain techniques. One analysis technique is investigated: Continuous Wavelet Transform (CWT) which is reviewed from the mathematical point of view, based on its developmental stages, drawbacks and the subsequent improvements. The detection capabilities of this technique are evaluated using air-borne acoustic signals collected from diesel engine in acoustically untreated laboratory. Some engine conditions and faults are investigated using CWT techniques. The achieved results prove the technique’s sensitivity to engine’s speed and load variations. More important, the CWT shows excellent capabilities in detecting engine’s injection process and lubrication related faults at early stages. At the end of the paper, summary is given. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Applied Acoustics Science and Engineering Publishing Company

Diesel Engine Air-borne Acoustic Signals Analysis Using Continuous Wavelet Transform

A. Albarbar
Advances in Applied Acoustics , Volume 2 (3) – Aug 1, 2013
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6 pages

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Publisher
Science and Engineering Publishing Company
Copyright
Science and Engineering Publishing Company
ISSN
2325-7024
eISSN
2325-7032

Abstract

This paper studies the characteristics of Diesel engine air-borne acoustic signals using time-frequency domain techniques. One analysis technique is investigated: Continuous Wavelet Transform (CWT) which is reviewed from the mathematical point of view, based on its developmental stages, drawbacks and the subsequent improvements. The detection capabilities of this technique are evaluated using air-borne acoustic signals collected from diesel engine in acoustically untreated laboratory. Some engine conditions and faults are investigated using CWT techniques. The achieved results prove the technique’s sensitivity to engine’s speed and load variations. More important, the CWT shows excellent capabilities in detecting engine’s injection process and lubrication related faults at early stages. At the end of the paper, summary is given.

Journal

Advances in Applied Acoustics – Science and Engineering Publishing Company

Published: Aug 1, 2013

Keywords: Air-borne Acoustic Signals; Continuous Wavelet Transform (CWT); Diesel Engines; Engine Noise

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