23 February 1988 Application Of The Wigner-Ville Distribution To The Identification Of Machine Noise
Author Affiliations +
The theory of signal detection using the Wigner-Ville Distribution (WVD) and the Cross Wagner-Ville 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. Cross-correlation 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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boualem Boashash, Peter O'Shea, "Application Of The Wigner-Ville Distribution To The Identification Of Machine Noise", Proc. SPIE 0975, Advanced Algorithms and Architectures for Signal Processing III, (23 February 1988); doi: 10.1117/12.948505; https://doi.org/10.1117/12.948505


Harmogram feature sets for 1D and 2D data
Proceedings of SPIE (July 17 1998)
The application of wavelet analysis in the signal processing
Proceedings of SPIE (October 01 2011)
High-resolution correlation
Proceedings of SPIE (September 21 2007)
Proportional Bandwidth, Wideband Wigner-Ville Analysis
Proceedings of SPIE (November 14 1989)

Back to Top