Pattern recognition methods for damage diagnosis in structures from vibration measurements

I. Trendafilova

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Citations (Scopus)

Abstract

This study approaches the problem for damage diagnosis and defect localization in structures applying a pattern recognition procedure combined with substructuring. The problems for damage detection and localization are first defined as pattern recognition (PR) problems for differentiating between two possible categories of damaged and non-damaged structures (substructures). The problem for feature extraction from frequency response functions is discussed. A stochastic PR procedure is introduced in the context of defect detection and localization problem. The method is demonstrated on a test case of a cantilevered beam. It shows rather accurate performance and low error with simulated and noise contaminated data.
Original languageEnglish
Title of host publicationDamage Assessment of Structures
Pages85-96
Number of pages11
Volume204-2
Publication statusPublished - 2001

Publication series

NameKey Engineering Materials
PublisherTrans Tech Publications Ltd

Keywords

  • vibration
  • categorisation
  • pattern recognition
  • mechanical engineering
  • signal processing

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  • Cite this

    Trendafilova, I. (2001). Pattern recognition methods for damage diagnosis in structures from vibration measurements. In Damage Assessment of Structures (Vol. 204-2, pp. 85-96). (Key Engineering Materials).