Vanik, M. W. and Beck, J. L. (1997) A Bayesian Probabilistic Approach to Structural Health Monitoring. In: Structural health monitoring : current status and perspectives : proceedings of the International Workshop on Structural Health Monitoring. Technomic , Lancaster, PA, pp. 140-151. ISBN 1566766052. https://resolver.caltech.edu/CaltechAUTHORS:20120926-095022687
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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.
| Item Type: | Book Section |
|---|---|
| Record Number: | CaltechAUTHORS:20120926-095022687 |
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20120926-095022687 |
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
| ID Code: | 34415 |
| Collection: | CaltechAUTHORS |
| Deposited By: | Carmen Nemer-Sirois |
| Deposited On: | 21 Nov 2012 18:37 |
| Last Modified: | 03 Oct 2019 04:18 |
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