FOCUSING BASED ON THE STRUCTURE OF A MODEL IN MODEL-BASED DIAGNOSIS

被引:5
作者
NOOTEBOOM, P
LEEMEIJER, GB
机构
[1] University of Twente, Department of Computer Science, 7500 AE Enschede
来源
INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES | 1993年 / 38卷 / 03期
关键词
D O I
10.1006/imms.1993.1021
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The high computational complexity of existing methods for model-based diagnosis imposes a limit on the application of those methods in practical situations. Therefore, a lot of research time is spent on methods that improve the tractability of model-based diagnosis. In this paper, a new method for improving the tractability of model-based diagnosis is presented. The reasoning mechanism used is restricted to a subset of the components in the model called the focus. This focus is selected during diagnosis, based on (1) the structure of the model and the observed values at the system outputs, and (2) measurable connections in the model. Experiments have shown that focusing improves the practical applicability of model-based diagnosis. Furthermore, we will discuss a method for ordering the resulting set of diagnoses in a way analogous to determining a focus, i.e. based on the structure of the model and observations available. © 1993 Academic Press. All rights reserved.
引用
收藏
页码:455 / 474
页数:20
相关论文
共 14 条
[1]  
BAKKER RR, 1990, 7TH P DKBS WORKSH AB
[2]  
CHEN JS, 1989, 11TH P INT JOINT C A, P1363
[3]   DIAGNOSTIC REASONING BASED ON STRUCTURE AND BEHAVIOR [J].
DAVIS, R .
ARTIFICIAL INTELLIGENCE, 1984, 24 (1-3) :347-410
[4]   DIAGNOSING MULTIPLE FAULTS [J].
DEKLEER, J ;
WILLIAMS, BC .
ARTIFICIAL INTELLIGENCE, 1987, 32 (01) :97-130
[5]  
DEKLEER J, 1990, 1ST INT WORKSH PRINC
[6]   THE USE OF DESIGN DESCRIPTIONS IN AUTOMATED DIAGNOSIS [J].
GENESERETH, MR .
ARTIFICIAL INTELLIGENCE, 1984, 24 (1-3) :411-436
[7]  
HAMMINK E, 1990, JUN NED AI C KERKR, P189
[8]  
HAMSCHER WC, 1988, MIT1074 AI LAB
[9]  
NOOTEBOOM P, 1991, THESIS U TWENTE ENSC
[10]   A THEORY OF DIAGNOSIS FROM 1ST PRINCIPLES [J].
REITER, R .
ARTIFICIAL INTELLIGENCE, 1987, 32 (01) :57-95