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
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;
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
DOI :
10.1109/ICSMC.2006.385120
