| 改善电子系统故障诊断能力的神经网络虚警过滤器技术 |
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| 引用本文： | 张宝珍,曾天翔.改善电子系统故障诊断能力的神经网络虚警过滤器技术[J].航空标准化与质量,2001(3):43-47. |
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| 作者姓名： | 张宝珍 曾天翔 |
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| 作者单位： | 中国航空信息中心, |
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| 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。
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| 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 |
| 文章编号： | 1003-6660（2001）-03-0043-05 |
| 修稿时间： | 2001年2月27日 |
An Application of False alarm Filter Technology of Neural Network in Improving Built-in Test of Electronic System |
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| Zhang Baozhen,Zeng Tianxiang.An Application of False alarm Filter Technology of Neural Network in Improving Built-in Test of Electronic System[J].Aeronautic Standardization & Quality,2001(3):43-47. |
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| Authors: | Zhang Baozhen Zeng Tianxiang |
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| Abstract: | 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. |
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| Keywords: | electronic system built in test false alarm neural network neural network false alarm filter |
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