DocumentCode
3227749
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
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
1106
Lastpage
1110
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/BICTA.2010.5645100
Filename
5645100
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