Model-based approach to diagnostic expert system

Pao Yue-kong Library Electronic Theses Database

Model-based approach to diagnostic expert system


Author: Yu, Chin-wah
Title: Model-based approach to diagnostic expert system
Degree: M.Sc.
Year: 1995
Subject: Expert systems (Computer science)
Buildings -- Maintenance -- Data processing
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Pages: 1 v. (various pagings) ; 30 cm
Language: English
InnoPac Record:
Abstract: Operation and maintenance of building services in a large establishment is a difficult job. Problems encountered include lack of funding, building services involve knowledge from various trades, most technical knowledge were hidden inside drawings and manuals, and many practical problem solving techniques depend on personal experience and trade practise. Technicians have to rely on theoretical knowledge possessed by trained engineers and engineers also rely on subordinates' practical experience to solve problem. This relationship may hinder the operation and management of daily work. Knowledge-based diagnostic system shall be able to give advice on fault diagnosis, operation and maintenance of building services equipment and can also act as training tutor. There is no standard approach for the application of artificial intelligent technology in the area of knowledge-based system. The selection of knowledge representation model, knowledge representation strategy and problem solving action depend very much on the domain task and tool available. A prototype knowledge-based system employing model-based construction was developed to study the problems and feasibility of constructing and implementing practical expert system for the diagnosis of electro-mechanical equipment. The project studied the approaches to solve the computational intractability inherited in model-based system design. It was concluded from this project that (i) it is possible and feasible to apply model-based technology for diagnostic programme in the domain of complex electromechanical equipment; and (ii) integration of heuristic knowledge and model-based knowledge should be more suitable for building expert system. Evaluation of the prototype system indicated that application of functional decomposition approach for knowledge representation and explicitly representing functional, malfunction, verification test procedures and remedy actions are necessary for diagnosis of complex electro-mechanical equipment.

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