Locating the damaged storey of a building using distance measures of low-order AR models

Zhenhua Xing, Akira Mita

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


The key to detecting damage to civil engineering structures is to find an effective damage indicator. The damage indicator should promptly reveal the location of the damage and accurately identify the state of the structure. We propose to use the distance measures of low-order AR models as a novel damage indicator. The AR model has been applied to parameterize dynamical responses, typically the acceleration response. The premise of this approach is that the distance between the models, fitting the dynamical responses from damaged and undamaged structures, may be correlated with the information about the damage, including its location and severity. Distance measures have been widely used in speech recognition. However, they have rarely been applied to civil engineering structures. This research attempts to improve on the distance measures that have been studied so far. The effect of varying the data length, number of parameters, and other factors was carefully studied.

Original languageEnglish
Pages (from-to)991-1005
Number of pages15
JournalSmart Structures and Systems
Issue number9
Publication statusPublished - 2010 Dec


  • AR model
  • Adaptive component weighting (ACW)
  • Cepstral metric
  • Damage indicator
  • Pre-whitening filter

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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