MIDAS - AN APPLICATION OF MODEL-BASED REASONING FOR THE DIAGNOSIS OF HYDRAULIC SYSTEMS

被引:2
作者
DOHERTY, NF [1 ]
KOCHHAR, AK [1 ]
机构
[1] UNIV MANCHESTER,INST SCI & TECHNOL,DEPT MECH ENGN,DIV MFG,MANCHESTER M60 1QD,LANCS,ENGLAND
关键词
FAULT DIAGNOSIS; MODEL-BASED REASONING; HYDRAULIC SYSTEMS;
D O I
10.1016/0950-7051(94)90025-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The traditional approach to the development of diagnostic knowledge-based systems has been rule-based, where experiential and heuristic knowledge is encoded in a suite of production rules. Despite the success of such rule-based systems it has been recognised that they suffer from a number of limitations owing to the shallowness of their knowledge. Much of the current thrust of research is focusing on the use of model-based reasoning, which provides knowledge of the structure and function of the device under diagnosis. The paper describes the design and development of a model-based system for diagnosis which aids in the troubleshooting of complex hydro-mechanical devices. The resultant system, named MIDAS, has now been implemented successfully.
引用
收藏
页码:127 / 134
页数:8
相关论文
共 26 条
[1]  
Abu-Hanna A., 1990, INT J EXPERT SYST, V3, P1, DOI [10.1177/002029407801100502, DOI 10.1177/002029407801100502]
[2]  
BRAMER MA, 1988, RES DEV EXPERT SYSTE, V5
[3]  
DAVIS D, 1988, EXPLORING AI
[4]   DIAGNOSTIC REASONING BASED ON STRUCTURE AND BEHAVIOR [J].
DAVIS, R .
ARTIFICIAL INTELLIGENCE, 1984, 24 (1-3) :347-410
[5]   DIAGNOSING MULTIPLE FAULTS [J].
DEKLEER, J ;
WILLIAMS, BC .
ARTIFICIAL INTELLIGENCE, 1987, 32 (01) :97-130
[6]  
DOHERTY NF, 1992, THESIS U BRADFORD UK
[7]  
DOHERTY NF, 1993, 30TH INT MATADOR C U
[8]   THE USE OF DESIGN DESCRIPTIONS IN AUTOMATED DIAGNOSIS [J].
GENESERETH, MR .
ARTIFICIAL INTELLIGENCE, 1984, 24 (1-3) :411-436
[9]  
GUIDA G, 1985, EXPERT SYSTEMS OPTIM
[10]  
HAVLICSEK BL, 1988, P AUTOTESTCON MINNEA, P179