Title :
Application Research for Fault Diagnosis of Machine Unit Based on Immunology Principle
Author :
Cen Jian ; Zhang Qing-hua ; Xu Bu-Gong ; Gao Ting-yu ; Li Hong-fang
Author_Institution :
Coll. of Autom., GuangDong Polytech. Normal Univ., Guangzhou
Abstract :
In this paper, non-dimensional parameter immune detectors are constructed using some non-dimensional parameter which are more hypersensitive to single fault combined with negative selection mechanism of artificial immune system. Regarding complex fault as a type new occurring fault and is gone into fault space to train, fault character can be extracted, and fault can be diagnosed. The machine unit experiment results show that the proposed method is effective.
Keywords :
artificial intelligence; fault diagnosis; genetic algorithms; artificial immune system; fault diagnosis; immunology principle; machine unit; negative selection mechanism; nondimensional parameter immune detectors; Artificial immune systems; Binary codes; Detectors; Educational institutions; Fault detection; Fault diagnosis; Immune system; Probability density function; Space technology; Time domain analysis; fault diagnosis; immunology principle; negate selecion; non-dimentinal parameter;
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
DOI :
10.1109/NSWCTC.2009.262