基于小波支撑矢量机非线性组合预测的导弹惯性器件故障预报  

Fault Prediction of Inertial Device of Missile Based on Nonlinear Combination Forecastion with Wavelet Support Vector Machine

作　　者：陈伟[1] 胡昌华[1] 樊红东[1] 

机构地区：[1]第二炮兵工程学院,西安710025

出　　处：《战术导弹技术》2006年第4期84-88,共5页Tactical Missile Technology

摘　　要：组合预测是预测领域的一个重要的研究方向.结合支撑矢量机和小波理论的优点,提出了一种基于小波支撑矢量机的非线性组合预测模型,其预测精度比各种单一预测方法大大提高.将该组合预测模型用于导弹惯性器件故障预报中,仿真结果验证了算法的可行性和有效性.Combination forecastion is a very important aspect in forecasting field. A combination forecastion model combining the advantages of suppoprt vector machine and wavelet theory is presented. Its forecastion precision is much better than various single forecastion way. This model is used in fault prediction of inertial device of missile, and the simulation experiment proves that the algorithm is valid and acceptable.

关 键 词：子波核函数 小波支撑矢量机 组合预测 惯性器件 故障预报 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]