Damage detection using stress waves and multivariate statistics, an experimental case study of an aircraft component
Mustapha, F. and Worden, K. and Pierce, S.G. and Manson, G. (2007) Damage detection using stress waves and multivariate statistics, an experimental case study of an aircraft component. Strain, 43 (1). pp. 47-53. ISSN 0039-2103 (https://doi.org/10.1111/j.1475-1305.2007.00306.x)
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The work will focus on generating statistical models of the normal condition based on the ultrasonic-guided wave response of the selected specimens and testing for novelty in subsequently acquired signals. Novelty refers to any computed Mahalanobis squared distance that exceed the appropriate threshold value diagnosed as having the damaged state of the structure. While the study proved extremely successful, with cuts of 1 mm diagnosed unambiguously, it was mainly of interest from the point of algorithm development as the specimen concerned bore only a vague resemblance to the sort of components which would comprise a real structure.
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Item type: Article ID code: 11773 Dates: DateEventFebruary 2007PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Strathprints Administrator Date deposited: 16 Nov 2011 12:21 Last modified: 08 Apr 2024 16:51 URI: https://strathprints.strath.ac.uk/id/eprint/11773