DocumentCode :
354057
Title :
Determining the best strategy to fault isolation by genetic programming algorithm
Author :
Zhuang, Wu ; Xin-gui, He
Author_Institution :
Dept. of Comput. Sci. & Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1988
Abstract :
Based on a functional block diagram and signal flow of equipment, the fault information matrix of the equipment is structured, then a genetic programming algorithm (GPA) for finding the best strategy for fault isolation, composed of some ordinal test points, is consequently developed, which can isolate the failed component with the fewest test points and the least time
Keywords :
fault diagnosis; genetic algorithms; mathematical programming; matrix algebra; signal flow graphs; best strategy; fault information matrix; fault isolation; functional block diagram; genetic programming algorithm; ordinal test points; signal flow; Availability; Computer science; Condition monitoring; Costs; Extraterrestrial measurements; Genetic engineering; Genetic programming; Manufacturing; Materials testing; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.862906
Filename :
862906
Link To Document :
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