Abstract
This paper deals with development of an intelligent system for monitoring of acoustic emission generated by different structures. The system uses principles of pattern recognition for identification of trends in the acoustic signals and for detection of the extent of damage. The framework developed deals with two properties, namely, a dynamic character of pattern formation on a basis of recordings of the acoustic signals in a given time horizon and continuous labelling of classes referring to particular characteristics of the structure (e.g. stress). These aspects make it possible to discriminate between different states of the structure and/or predict them on a basis of available data. An example of application of these techniques is given.
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