DocumentCode
1612294
Title
Fault Prediction of Power Supply Using SVR Optimized with QPSO
Author
Yang, Sen ; Meng, Chen
Author_Institution
Dept. of Missile Eng., Mech. Eng. Coll., Shijiazhuang, China
fYear
2012
Firstpage
825
Lastpage
827
Abstract
In this paper, fault prediction approach on power supply mixture in the system of certain guidance radar is analyzed and a fault prediction method to optimize SVR based on QPSO is proposed. The QPSO algorithm is introduced, effect factors of SVR capability are analyzed and the steps to optimize SVR parameters based on QPSO are proposed. Experimental results of the fault prediction on power supply mixture show that this approach achieves low percent of error and has achieved the expected results.
Keywords
fault diagnosis; power supplies to apparatus; radar; regression analysis; support vector machines; QPSO-based SVR parameters optimization; SVR capability; fault prediction approach; guidance radar; power supply mixture; Accuracy; Kernel; Power supplies; Prediction algorithms; Predictive models; Support vector machines; Training; Fault Prediction; Power Supply Mixture; QPSO; SVR;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.219
Filename
6322508
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