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Entropy 2016, 18(7), 253; doi:10.3390/e18070253

The Use of Denoising and Analysis of the Acoustic Signal Entropy in Diagnosing Engine Valve Clearance

1
Faculty of Transport, The Silesian University of Technology, 8 Krasinskiego Street, Katowice 40-019, Poland
2
Faculty of Operation and Economics of Transport and Communications, University of Žilina, 1 Univerzitna Street, Žilina 010-26, Slovakia
3
Faculty of Transport and Computer Science, University of Economics and Innovation in Lublin, 4 Projektowa Street, Lublin 20-209, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Kevin H. Knuth
Received: 18 April 2016 / Revised: 7 June 2016 / Accepted: 29 June 2016 / Published: 12 July 2016
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Abstract

The paper presents a method for processing acoustic signals which allows the extraction, from a very noisy signal, of components which contain diagnostically useful information on the increased valve clearance of a combustion engine. This method used two-stage denoising of the acoustic signal performed by means of a discrete wavelet transform. Afterwards, based on the signal cleaned-up in this manner, its entropy was calculated as a quantitative measure of qualitative changes caused by the excessive clearance. The testing and processing of the actual acoustic signal of a combustion engine enabled clear extraction of components which contain information on the valve clearance being diagnosed. View Full-Text
Keywords: condition monitoring; denoising; entropy; acoustic signal condition monitoring; denoising; entropy; acoustic signal
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Figlus, T.; Gnap, J.; Skrúcaný, T.; Šarkan, B.; Stoklosa, J. The Use of Denoising and Analysis of the Acoustic Signal Entropy in Diagnosing Engine Valve Clearance. Entropy 2016, 18, 253.

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