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A statistical measure for wavelet based singularity detection
Pakrashi, Vikram; Basu, Biswajit; O'Connor, Alan
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.
Keyword(s): Singularity detection; Wavelet analysis; False alarm; Signal to noise ratio; Open crack
Publication Date:
2019
Type: Journal article
Peer-Reviewed: Unknown
Language(s): English
Institution: University College Dublin
Publisher(s): The American Society of Mechanical Engineers
First Indexed: 2019-05-23 06:15:24 Last Updated: 2019-05-23 06:15:24