Bayesian probabilistic approach to structural health monitoring

J. L. Beck*, S. K. Au, M. W. Vanik

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)

Abstract

Some general issues associated with on-line structural health monitoring are discussed. In order to address the problem of determining the existence and location of damage in the presence of uncertainties, a global model-based structural health monitoring method which utilizes Bayesian probabilistic inference is developed. The results of tests using simulated data are described.

Original languageEnglish
Pages (from-to)1119-1123
Number of pages5
JournalProceedings of the American Control Conference
Volume2
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: Jun 2 1999Jun 4 1999

ASJC Scopus Subject Areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Bayesian probabilistic approach to structural health monitoring'. Together they form a unique fingerprint.

Cite this