Application of the wigner-ville distribution to the identification of machine noise

Boashash B. and O'Shea P. (1988) Application of the wigner-ville distribution to the identification of machine noise. Proceedings of SPIE - The International Society for Optical Engineering, 975 209-220. doi:10.1117/12.948505


Author Boashash B.
O'Shea P.
Title Application of the wigner-ville distribution to the identification of machine noise
Journal name Proceedings of SPIE - The International Society for Optical Engineering   Check publisher's open access policy
ISSN 1996-756X
Publication date 1988-02-23
Sub-type Article (original research)
DOI 10.1117/12.948505
Volume 975
Start page 209
End page 220
Total pages 12
Subject 2604 Applied Mathematics
2504 Electronic, Optical and Magnetic Materials
3104 Condensed Matter Physics
2208 Electrical and Electronic Engineering
1706 Computer Science Applications
Abstract The theory of signal detection using the Wigner-Ville Distribution (WVD) and the Cross WignerVille Distribution (XWVD) is reviewed, and applied to the signaturing, detection, and identification of some specific machine sounds the individual cylinder firings of a marine engine. For this task, a 4 step procedure has been devised. The Autocorrelation Function (ACF) is first employed for ascertaining the number of engine cylinders and the firing rate of the engine. Crosscorrelation techniques are then used for detecting the occurrence of cylinder firing events. This is followed by the use WVD and XWVD based analyses to produce high resolution Time-Frequency signatures, and finally 2D correlations are employed for identification of the cylinders. The proposed methodology is applied to real data.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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Created: Tue, 26 Jul 2016, 03:39:23 EST by System User