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
