Automatic Decision Making in SHM Using Hidden Markov Models

Decision making and classification methods are very important in the field of structural health monitoring and life cycle prediction. We want to introduce an approach basing on sequence classifiers which can be used to several applications without any explicit knowledge of structures. To illustrate the concept we explain the method by means of a special example. So we can demonstrate our approach detailed, but although not too abstract.