Research on Combination Prognostic Method Based on LS-SVM

Wan Ling Li; Yan Hong Liu; Xiang Jun Song

doi:10.4028/www.scientific.net/AMR.756-759.4016

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Research on Combination Prognostic Method Based on...

Research on Combination Prognostic Method Based on LS-SVM

Abstract:

Prognostic capability is a very important character for PHM distinguishing from other diagnosis systems, and fault prognostic method based on LS-SVM was researched on in this paper. In order to solve kernel function parameters, penalty coefficient and insensitivity loss coefficient of LS-SVM, improved QPSO was put forward to train LS-SVM in this paper. And then a certain power supply combination in beam control system of a certain control and guide radar was taken as an example to collect voltage signal and forecasted, and its precision was very perfect and could satisfy prognostic demand.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

4016-4020

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.4016

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Online since:

September 2013

Authors:

Wan Ling Li, Yan Hong Liu, Xiang Jun Song

Keywords:

IQPSO, Least Squares Support Vector Machines (Ls-SVM), Prognostic, QPSO, Support Vector Machine (SVM)

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