基于BP网络的某型火控雷达角跟踪系统故障诊断

在介绍BP网络基本结构原理及其学习算法的基础上,结合某型火控雷达的特点,以角跟踪系统作为被诊断对象,运用BP神经网络的数学模型及学习算法对其进行故障诊断。诊断结果表明BP网络能够准确地诊断出样本的故障,提高了某型火控雷达角跟踪系统的一线维修效率,为提高火控雷达故障诊断效率提供了一种新的途径。

Fault Diagnosis for A Type of Fire-Control Radar Angle TrackingSystem Based on BP Neural Network

Based on the principle of BP neural network and the corresponding learning algorithm, and in view of the characteristics of the angle tracking system (ATS) on a certain type of fire-control radar, this paper uses the model and the learning method for fault diagnosis of the ATS. The diagnosis result indicated that the BP neural network can identify the fault of the sample effectively, the field maintenance efficiency of the ATS can be improved, which supplies a new way for improving the efficiency of fault diagnosis of the fire-control radar.