A Bayesian Probabilistic Approach to Structural Health Monitoring

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.

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