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Entropy 2016, 18(7), 253;

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

Faculty of Transport, The Silesian University of Technology, 8 Krasinskiego Street, Katowice 40-019, Poland
Faculty of Operation and Economics of Transport and Communications, University of Žilina, 1 Univerzitna Street, Žilina 010-26, Slovakia
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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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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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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