Title :
A Fault Diagnosis Method Based on Clone and Mutation Mechanisms
Author :
Dou Wei ; Liu Zhan-sheng
Author_Institution :
Harbin Inst. of Technol., Harbin
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.22
