A hybrid forecasting approach for HRG parameters based on output time series

Author

Qi Ziyang ; Li Qinghua ; Yi Guoxing ; Fang Haibin

Author_Institution

Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

2606

Lastpage

2610

Abstract

A hybrid forecasting model is proposed to predict the parameters of hemispherical resonator gyro (HRG) output time series. The hybrid forecasting methodology consists of an ARIMA model and a SVM model for the linear and nonlinear components, respectively. In the simulation, the proposed model is more accurate than single model in term of MAE and RMSE. Afterwards, the failure judgments are discussed, concluding the reason why performance deterioration leads to failure.

Keywords

atmospheric techniques; autoregressive moving average processes; geophysics computing; support vector machines; time series; ARIMA model; HRG output time series; HRG parameters; MAE; RMSE; SVM model; failure judgments; hemispherical resonator gyro; hybrid forecasting methodology; hybrid forecasting model; nonlinear components; performance deterioration; Decision support systems; World Wide Web; ARIMA; HRG lifetime test; Hybrid forecast; Parameter extrapolation; SVM;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6852613

Filename

6852613

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=176287