Application of the Case-Based Reasoning Approach for Identification of Acoustic-Emission Control Signals of Complex Technical Objects

The work is devoted to the problem of developing a case-based reasoning module, capable of performing identification and filtration of data, obtained during acoustic emission control of complex technical objects. The application of case-based reasoning approach for identifying and filtering noise (non-standard, distorted) signals is considered. The parametric case representation is proposed to solve this problem.