Qualitative circuit models in failure analysis reasoning

被引:7
作者
Lee, MH [1 ]
机构
[1] Univ Wales, Dept Comp Sci, Aberystwyth SY23 3DB, Dyfed, Wales
关键词
qualitative modelling; failure analysis reasoning; FMEA (Failure mode effects analysis); symbolic electrical circuit simulation;
D O I
10.1016/S0004-3702(99)00032-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The engineering task of failure analysis involves reasoning about the behaviour of a system using appropriate models of system components and structure. This paper describes methods of qualitatively modelling electrical circuits that support the requirements for certain combinatorially demanding forms of failure analysis. Minimal models, based on zero-order quiescent conditions, are examined and a particular formulation, known as CIRQ, is shown to be an effective and efficient model with strong intuitive features. Theoretical background is given and simulation algorithms are described. These models have been used as the basis for successful failure analysis software packages that solve large-scale real applications involving repeated behaviour inference. The contributions of this work include the development of minimal qualitative circuit models and simulation algorithms, an understanding of their relationship to certain graph-theoretic properties of circuits and the relevance of such models for fault modelling in FMEA tasks. The limitations of the approach are discussed and its relation to other work is examined. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:239 / 276
页数:38
相关论文
共 41 条
[1]  
ARNBORG S, 1991, LECT NOTES COMPUT SC, V532, P70, DOI 10.1007/BFb0017382
[2]  
BRNA P, 1992, LECT NOTES COMPUT SC, V608, P405
[3]  
Cormen T. H., 1990, INTRO ALGORITHMS
[4]   HOW CIRCUITS WORK [J].
DEKLEER, J .
ARTIFICIAL INTELLIGENCE, 1984, 24 (1-3) :205-280
[5]  
Dijkstra E., 1959, NUMER MATH, V1, P269, DOI [10.1007/BF01386390, DOI 10.1007/BF01386390]
[6]  
French M., 1988, INVENTION EVOLUTION
[7]   Evidence for the involvement of bacterial superantigens in psoriasis, atopic dermatitis, and Kawasaki syndrome [J].
Yarwood, JM ;
Leung, DYM ;
Schlievert, PM .
FEMS MICROBIOLOGY LETTERS, 2000, 192 (01) :1-7
[8]   QUALITATIVELY MODELING THE EFFECTS OF ELECTRICAL CIRCUIT FAULTS [J].
LEE, MH ;
ORMSBY, ART .
ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1993, 8 (04) :293-300
[9]   ANALOG IC DESIGN AUTOMATION .2. AUTOMATED CIRCUIT CORRECTION BY QUALITATIVE REASONING [J].
MAKRIS, CA ;
TOUMAZOU, C .
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 1995, 14 (02) :239-254
[10]   Function-directed electrical design analysis [J].
Price, CJ .
ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1998, 12 (04) :445-456