A MULTIFUNCTIONAL KNOWLEDGE-BASED SYSTEM FOR ENGINEERING

Citation
Ef. Morales et Le. Sucar, A MULTIFUNCTIONAL KNOWLEDGE-BASED SYSTEM FOR ENGINEERING, Expert systems with applications, 14(1-2), 1998, pp. 17-24
Citations number
15
Categorie Soggetti
Computer Science Artificial Intelligence","Operatione Research & Management Science","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Operatione Research & Management Science
ISSN journal
09574174
Volume
14
Issue
1-2
Year of publication
1998
Pages
17 - 24
Database
ISI
SICI code
0957-4174(1998)14:1-2<17:AMKSFE>2.0.ZU;2-O
Abstract
Knowledge-based systems are normally designed to perform a single task (e.g. diagnosis) for which they are competent, but their knowledge ba se is rarely used for other tasks, even when they are very similar and in the same application domain. An alternative approach is to build a knowledge core that has the basic knowledge for a certain domain, on top of which different tasks could be built. In this paper, a multifun ctional knowledge-based system for engineering domains, called MF-KBS, is described. MF-KBS has (i) a library of engineering components, suc h as pumps, valves, tanks, etc. associated with mathematical models at different abstraction levels, (ii) several reasoning mechanisms for t hese models, and (iii) knowledge operators capable of performing diffe rent tasks with the reasoning mechanisms, such as diagnosis, problem s olving, tutoring, etc. Particular applications are built by joining co mponents, producing a global model via composition, and selecting one or more of the knowledge operators. Experiments in a subsystem of an e lectric power plant with different knowledge operators are described. (C) 1998 Elsevier Science Ltd. All rights reserved.