DocumentCode
3082257
Title
Clonal Optimization of Negative Selection Algorithm with Applications in Motor Fault Detection
Author
Gao, X.Z. ; Ovaska, S.J. ; Wang, X. ; Chow, M.-Y.
Author_Institution
Helsinki Univ. of Technol., Espoo
Volume
6
fYear
2006
fDate
8-11 Oct. 2006
Firstpage
5118
Lastpage
5123
Abstract
In this paper, we employ the clonal optimization method to optimize the detectors in the negative selection algorithm (NSA). Taking advantage of the clonal optimization strategy, the NSA detectors can be optimized for anomaly detection. A new motor fault detection scheme using our NSA is also discussed. We demonstrate the efficiency of the proposed approach with an example of bearings fault detection.
Keywords
electric motors; fault diagnosis; machine bearings; optimisation; NSA detectors; anomaly detection; bearing fault detection problem; clonal optimization method; detector optimization; motor fault detection scheme; negative selection algorithm; Artificial immune systems; Bones; Cybernetics; Data analysis; Detectors; Fault detection; Immune system; Optimization methods; Pattern recognition; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
1-4244-0099-6
Electronic_ISBN
1-4244-0100-3
Type
conf
DOI
10.1109/ICSMC.2006.385120
Filename
4274729
Link To Document