Automating the Identification of Mechanical Systems' Technical State Using Case-Based Reasoning

Abstract

The paper considers application of the case-based reasoning paradigm for solving of the problem related to computer-aided identification of technical states for mechanical systems employed in petrochemistry. The results of investigation are: case models corresponding to the concept of "incident" (known from the practice of reaching reliability) and reflecting the properties and states of mechanical systems; an algorithm of case retrieval; the architecture and software for computer-aided identification of technical states for mechanical systems