Hybrid Expert System Development Using Computer-Aided Software Engineering Tools

Abstract

The purpose of this article is to demonstrate a way of intellectualization of automated information and diagnostic systems using knowledge bases, databases and algorithms for the formalization of procedures in terms of the development of an expert system for marine diesel engines.

The aim of this work is to develop an expert system’s architecture with data mining tools for solving the problem of technical exploitation of marine diesel engines based on fragmented, unreliable and possibly inaccurate information. The architecture of such expert system allows moving from normal monitoring to ≪information monitoring≫ in the specialized intelligent human-machine systems. Application of data mining technology allows optimizing database processing queries that retrieve the required information from the actual data in order to detect important patterns. An approach based on data mining and fuzzy logic in the expert system is shown on an example of solving technical exploitation of marine diesel engines problem.