DocumentCode
343045
Title
A Bayesian probabilistic approach to structural health monitoring
Author
Beck, J.L. ; Au, S.K. ; Vanik, M.W.
Author_Institution
Div. of Eng. & Appl. Sci., California Inst. of Technol., Pasadena, CA, USA
Volume
2
fYear
1999
fDate
2-4 Jun 1999
Firstpage
1119
Abstract
Some general issues associated with online 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
Keywords
Bayes methods; condition monitoring; probability; structural engineering; Bayesian probabilistic inference; damage; global model-based method; structural health monitoring; Bayesian methods; Condition monitoring; Frequency; Gold; Inverse problems; Noise measurement; Predictive models; Testing; Uncertainty; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1999. Proceedings of the 1999
Conference_Location
San Diego, CA
ISSN
0743-1619
Print_ISBN
0-7803-4990-3
Type
conf
DOI
10.1109/ACC.1999.783215
Filename
783215
Link To Document