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基于小波支撑矢量机的陀螺仪漂移预测
引用本文:陈伟,胡昌华,方华元.基于小波支撑矢量机的陀螺仪漂移预测[J].电光与控制,2006,13(2):97-100.
作者姓名:陈伟  胡昌华  方华元
作者单位:第二炮兵工程学院,陕西,西安,710025;第二炮兵工程学院,陕西,西安,710025;第二炮兵工程学院,陕西,西安,710025
摘    要:提出了基于小波支撑矢量机的导弹惯性器件故障预报方法。将子波核函数应用于支撑矢量机,得到小波支撑矢量机(WSVM)方法,用于某陀螺仪漂移时间序列预测中,预测精度优于基于传统核函数的支撑矢量机。通过仿真实验证明了算法的有效性和可行性。

关 键 词:子波核函数  小波支撑矢量机  惯性器件  故障预报
文章编号:1671-637X(2006)02-0097-04
收稿时间:2005-04-06
修稿时间:2005-04-062005-05-30

Gyroscopic drift forecasting based on wavelet support vector machine
CHEN Wei,HU Chang-hua,FANG Hua-yuan.Gyroscopic drift forecasting based on wavelet support vector machine[J].Electronics Optics & Control,2006,13(2):97-100.
Authors:CHEN Wei  HU Chang-hua  FANG Hua-yuan
Abstract:In this paper,a new method based on wavelet support vector machine(WSVM) is put forward for fault prediction of missile inertial device.The wavelet support machine is obtained with wavelet kernel function, which is then used in time series forecasting for a certain kind of gyro.The accuracy of the prediction result is better than that of the Supporter Vector Machine(SVM) based on traditional kernel function.The simulated experiment proves that the algorithm is valid and feasible.
Keywords:wavelet kernel function  Wavelet Support Vector Machine(WSVM)  inertial device  fault prediction
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