Shock and Vibration

Shock and Vibration / 2001 / Article

Open Access

Volume 8 |Article ID 128143 | https://doi.org/10.1155/2001/128143

Sang-Kwon Lee, "Sliced Wigner Fourth Order Moment Spectra Smoothed by γ-Method and Its Application to Detection of Valve System Faults in an Engine", Shock and Vibration, vol. 8, Article ID 128143, 10 pages, 2001. https://doi.org/10.1155/2001/128143

Sliced Wigner Fourth Order Moment Spectra Smoothed by γ-Method and Its Application to Detection of Valve System Faults in an Engine

Received25 Aug 2000
Revised25 Aug 2000

Abstract

The research proposes a method for detecting valve system faults in an engine. The methodology is based on the detection of impulsive sound embedded in the high level of background noise by using the sliced Wigner fourth order moment spectra (SWFOMS) which is inherently more robust in the presence of random (Gaussian) noise. However, in previous work, the SWFOMS for multiple signals had problems with its application which were due to the existence of non-oscillating cross-terms not smoothed by conventional methods. In this paper, the γ-method is developed to smooth non-oscillation cross-terms. Finally, the techniques developed are applied to the diagnosis of valve system faults in an engine.

Copyright © 2001 Hindawi Publishing Corporation. 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.


More related articles

 PDF Download Citation Citation
 Order printed copiesOrder
Views95
Downloads380
Citations

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.