DocumentCode :
2337092
Title :
A multi-faults diagnosis model based on set-covering and certainty factors
Author :
Xu, Changsheng ; Liu, Sixing ; Zhou, Zhaoying ; Zhang, Yaoqing
Author_Institution :
Dept. of Precision Instrum., Tsinghua Univ., Beijing, China
fYear :
1994
fDate :
10-12 May 1994
Firstpage :
1151
Abstract :
Considering the specific characteristics of diagnostic problems, based on set-covering and certainty factors, a multi-faults diagnosis model is presented and a solving algorithm of the model is given in this paper. It makes up for the shortcoming of “single-fault hypothesis” which most diagnostic methods have used. The model is an effective attempt for multi-faults problem solving
Keywords :
artificial intelligence; diagnostic expert systems; fault diagnosis; measurement theory; reliability; set theory; algorithm; certainty factors; measurement theory; multi-faults diagnosis model; set-covering; Automation; Erbium; Fault diagnosis; Instruments; Mathematics; Problem-solving; Production; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
Conference_Location :
Hamamatsu
Print_ISBN :
0-7803-1880-3
Type :
conf
DOI :
10.1109/IMTC.1994.351852
Filename :
351852
Link To Document :
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