基于BP神经网络的BIT虚警抑制技术

从BIT设计、工作可靠性上论述了虚警产生的原因,并以此提出了BIT虚警抑制的方法.分析了BP神经网络的网络模型及工作原理,构建了基于BP神经网络的故障诊断系统,并对导弹测试数据进行了实验,结果表明将BP神经网络用于故障诊断能够有效地抑制虚警产生,使被测系统具有更高的故障诊断能力.

Reducing False Alarm of Bit Based on BP Neural Network

This paper discusses the causes of false alarm from the BIT design,reliability of work,and proposed a method of BIT false alarm suppression,and analyzs the BP network model and work,constructed a fault diagnosis system based on BP neural network,and missile test data was experimentally.The result shows that it＇s effectively for reducing false alarm uses the BP neural network for fault diagnosis system,it makes the under test system to have a higher ability to fault diagnosis.