Expert Knowledge Base to Support Maintenance of a Radar System

  • Stanislaw Duer Koszalin University of Technology, Poland
Keywords: Maintenance process, expert system, knowledge base, diagnostic information

Abstract

This paper presents the method for the creation of an expert knowledge base of a military object, for example a radar system. Such a knowldge base can be widely used to support the process of the maintenance of a complex technical object. The first step is a maintenance evaluation of the object. During this kind of analysis, it is necessary to perform the grouping and classification of the functional elements of the object.It is realised using the functional scheme of the object presented. Further, diagnostic information is combined with specialised experts' knowledge and transformed it into a set of servicing information. The participation of experts in the process of expert knowledge base preparation is significant. The purpose is to capture information that will be a fundamental for the design of a maintenance system dedicated to the particulartechnical object. The methods proposed were verified with appropriate examples, in which the set of specialised diagnostic information of the object was determined.

Defence Science Journal, 2010, 60(5), pp.531-540, DOI:http://dx.doi.org/10.14429/dsj.60.84

Author Biography

Stanislaw Duer, Koszalin University of Technology, Poland
He has obtained his PhD (Technical Diagnostic) from the Department of Mechatronics of the Military University of Technology, Warsaw, Poland in 2003. Since 2003 he has been working at the Department of Mechanics of Technical University Koszalin as the academic teacher (adjunct). His areas of interest are expert systems, control theory, and diagnostic systems with an artificial neural network in diagnostics of a complex technical object.

 

Published
2010-08-24
How to Cite
Duer, S. (2010). Expert Knowledge Base to Support Maintenance of a Radar System. Defence Science Journal, 60(5), 531-540. https://doi.org/10.14429/dsj.60.84
Section
Research Papers