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基于SVM的电子装备故障预测方法研究
引用本文:颜富强,颜士坤,张庆.基于SVM的电子装备故障预测方法研究[J].舰船电子工程,2010,30(1):188-190.
作者姓名:颜富强  颜士坤  张庆
作者单位:92330部队,青岛266102
摘    要:探讨了支持向量机时间序列预测模型的应用。将支持向量机时间序列预测技术应用于电子装备故障预测中,对某型电子装备的数据传输插件板进行了故障预报,通过实验证明了该方法的有效性和实用性。

关 键 词:支持向量机  电子装备  故障预测

Research on the Method of Electronic Equipment Fault Prediction Based on SVM
Yan Fuqiang,Yan Shikun,Zhang Qing.Research on the Method of Electronic Equipment Fault Prediction Based on SVM[J].Ship Electronic Engineering,2010,30(1):188-190.
Authors:Yan Fuqiang  Yan Shikun  Zhang Qing
Institution:92330部队,青岛,266102
Abstract:The forecasting model is applied in inertia device fault prediction.The forecasting model is applied in electronic equipment fault prediction,and the fault of the electronic equipment circuit is forecasted by this method.The simulated experiment shows that the prediction models based on SVM are valid and acceptable.
Keywords:support vector machine  electronic equipment  fault prediction  
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