Damage detection using stress waves and multivariate statistics, an experimental case study of an aircraft component

F. Mustapha, K. Worden, S.G. Pierce, G. Manson

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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.
LanguageEnglish
Pages47-53
Number of pages7
JournalStrain
Volume43
Issue number1
DOIs
Publication statusPublished - Feb 2007

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Guided electromagnetic wave propagation
Damage detection
Ultrasonic waves
Aircraft
Statistics
Testing
Statistical Models

Keywords

  • damage detection
  • stress waves
  • multivariate statistics

Cite this

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Damage detection using stress waves and multivariate statistics, an experimental case study of an aircraft component. / Mustapha, F.; Worden, K.; Pierce, S.G.; Manson, G.

In: Strain, Vol. 43, No. 1, 02.2007, p. 47-53.

Research output: Contribution to journalArticle

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