Title :
CVT fault diagnosis based on immune principle and oil spectrum analysis
Author :
Gao, Shuai ; An, Ying ; Zhou, Yun-Shan ; Song, Chuan-Xue
Author_Institution :
Coll. of Automobile Eng., Jilin Univ., Changchun, China
Abstract :
By introducing the artificial immune principle into CVT fault diagnosis, using the negative selection method, generate the initial detectors set, then stimulate the set into mature detectors set. Utilizing the mature detectors set to diagnose CVT fault status. And it is proved that the detectors set are effective on CVT fault diagnosis and Fault identification.
Keywords :
artificial immune systems; fault diagnosis; petroleum industry; CVT fault diagnosis; artificial immune principle; immune principle; mature detectors set; negative selection method; oil spectrum analysis; Algorithm design and analysis; Detectors; Iron; Manganese; Artificial immune principle; CVT; fault diagnosis; negative selection method; oil spectrum analysis;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645100
