A statistical measure for wavelet based singularity detection

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Title: A statistical measure for wavelet based singularity detection
Authors: Pakrashi, Vikram
Basu, Biswajit
O'Connor, Alan
Permanent link: http://hdl.handle.net/10197/10586
Date: 14-Jul-2009
Online since: 2019-05-21T13:46:19Z
Abstract: This paper presents a statistical measure for the identification of the presence, the location, and the calibration of the strength of singularity in a signal or in any of its derivatives in the presence of measurement noise without the requirement of a baseline using a wavelet based detection technique. For this proposed wavelet based detection of singularities present in a signal, the problem of false alarm and its significant reduction by use of multiple measurements is presented. The importance of the proposed measure on baseline and nonbaseline damage calibration has been discussed from the aspect of structural health monitoring. The findings in this paper can also be used for crosschecking of background noise level in an observed signal. The detection of the existence, location, and extent of an open crack from the first fundamental modeshape of a simply supported beam is presented as an example problem.
Type of material: Journal Article
Publisher: The American Society of Mechanical Engineers
Journal: Journal of Vibration and Acoustics
Volume: 131
Issue: 4
Start page: 0410151
End page: 0410156
Copyright (published version): 2009 American Society of Mechanical Engineers
Keywords: Singularity detectionWavelet analysisFalse alarmSignal to noise ratioOpen crack
DOI: 10.1115/1.3142880
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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