DocumentCode
2739984
Title
A Fault Diagnosis Method Based on Clone and Mutation Mechanisms
Author
Dou Wei ; Liu Zhan-sheng
Author_Institution
Harbin Inst. of Technol., Harbin
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
443
Lastpage
443
Abstract
This paper presents a new diagnosis method based on the artificial immune clone and mutation mechanism to overcome the problems of excessive information rubbish and the gradual increase of new fault samples. This diagnosis method can effectively reduce information rubbish and constantly learn from new samples. Results of the diagnosis of a 600 MW turbine on the simulation test-bed show that this diagnosis method should have better capacity.
Keywords
artificial immune systems; fault diagnosis; learning (artificial intelligence); artificial immune clone; fault diagnosis; fault samples; information rubbish; mutation mechanism; Artificial immune systems; Artificial neural networks; Cloning; Fault diagnosis; Fuzzy neural networks; Genetic mutations; Immune system; Neural networks; Resource management; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.22
Filename
4428085
Link To Document