DocumentCode :
2539039
Title :
Integrated fault detection and diagnosis
Author :
Isermann, Rolf ; Ulieru, Mihaela
Author_Institution :
Lab. for Control Eng. & Process Autom., Tech. Univ. Darmstadt, Germany
fYear :
1993
fDate :
17-20 Oct 1993
Firstpage :
743
Abstract :
The development of technical diagnostic systems has shown that the time has come to bridge the gap between the process-oriented engineering approach and the reasoning-oriented approach. As a contribution to this on-going task, the paper proposes a unified frame for integration of different fault detection and decision techniques via approximate reasoning on analytical and heuristic fuzzy symptoms
Keywords :
diagnostic expert systems; fault diagnosis; fault trees; fuzzy set theory; uncertainty handling; approximate reasoning; decision techniques; directed graphs; fault detection; fault diagnosis; fault trees; fuzzy reasoning; heuristic fuzzy symptoms; process-oriented engineering; reasoning-oriented approach; technical diagnostic systems; Anthropometry; Artificial intelligence; Chemical analysis; Fault detection; Fault diagnosis; Medical diagnostic imaging; Monitoring; Power engineering and energy; Reliability engineering; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
Type :
conf
DOI :
10.1109/ICSMC.1993.384833
Filename :
384833
Link To Document :
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