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- W2115676376 abstract "Prognostic capability is a very important character for PHM distinguishing from other diagnosis systems, fault prognostic method based on SVR was researched on in this paper. In order to solve kernel function parameters, penalty coefficient and insensitivity loss coefficient of SVR, improved QPSO was put forward to train SVR 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." @default.
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- W2115676376 date "2014-02-01" @default.
- W2115676376 modified "2023-09-25" @default.
- W2115676376 title "Research on Prognostic Method Based on SVR Optimized by Improved QPSO" @default.
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- W2115676376 doi "https://doi.org/10.4028/www.scientific.net/amm.513-517.1653" @default.
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