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
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;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.783215
