摘要
分析了现代电子系统机内测试 (BIT)技术存在的虚警问题 ,提出运用神经网络虚警过滤器(NNFAF)技术来降低虚警、改进BIT能力 ;并介绍了NNFAF的原理和网络开发方法 ;最后分析了NN FAF技术的特点、应用及发展方向。
In this paper,the false alam problem in built in test(BIT)of modern electronic system is analyzed and the neural network false alarm filter technology with its principle and neural network development steps are introduced in order to reduce false alarms and therefore enhance the capability of BIT.The technology's characteristics ,applications and development trend are analyzed.
出处
《航空标准化与质量》
2001年第3期43-47,共5页
Aeronautic Standardization & Quality
关键词
电子系统
机内测试
虚警
神经网络
神经网络虚警过滤器
electronic system
built in test
false alarm
neural network
neural network false alarm filter
