电子装备故障预测方法研究

Research on Electric Equipment Fault Prediction Method

文章介绍了电子装备系统故障预测的概念,以及故障预测的流程,并对预测的方法进行了研究。其中展开对灰色系统理论进行研究并建立了故障预测的灰色模型方法;以及建立了最小二乘支持向量机(LS-SVM)回归预测算法和反向传播神经网络预测方法。三种预测方法为后续电子装备的故障预测建立了理论基础。

The paper introduces the concept of electric equipment and flow path about fault prediction.It studies the method of prediction.It develops the theoretical study on the grey model and builds the method of grey model about fault prediction.It builds the algorithm of least squares support vector machines and the method of the back-propagation neural network.These methods build theoretical basis for the fault prediction of electric equipment.