Title :
Automatic Decision Making in SHM Using Hidden Markov Models
Author :
Tschöpe, Constanze ; Wolff, Matthias
Abstract :
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.
Keywords :
acoustic signal processing; condition monitoring; decision making; hidden Markov models; signal classification; structural acoustics; structural engineering computing; acoustic signals; automatic decision making; hidden Markov models; life cycle prediction; sequence classification methods; structural health monitoring; Automata; Automatic testing; Databases; Decision making; Expert systems; Hidden Markov models; Life testing; Nondestructive testing; Statistics; Valves;
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
Print_ISBN :
978-0-7695-2932-5
DOI :
10.1109/DEXA.2007.138