| 基于可测性分析的容差网络故障定位的神经网络实现 |
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| 引用本文： | 李润梅,李春明. 基于可测性分析的容差网络故障定位的神经网络实现[J]. 电子测量与仪器学报, 2003, 17(2): 65-69 |
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| 作者姓名： | 李润梅 李春明 |
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| 作者单位： | 内蒙古工业大学信息工程学院，内蒙古呼和浩特 010062 |
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| 摘 要： | 利用BP网络的分类功能，提出一种有容差模拟电路的故障诊断方法，此方法基于可测性理论及模糊组概念，所用训练样本少，有较强的抗容差干扰能力。
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| 关 键 词： | 模拟电路 故障诊断 可测性 神经网络 BP网络 容差 |
| 修稿时间： | 2002-01-01 |
A Neural Network Approach to Fault Location of Tolerance Network Based on Testability Analysis |
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| LI Run-mei LI Chun-ming. A Neural Network Approach to Fault Location of Tolerance Network Based on Testability Analysis[J]. Journal of Electronic Measurement and Instrument, 2003, 17(2): 65-69 |
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| Authors: | LI Run-mei LI Chun-ming |
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| Abstract: | Using the category function of BP networks, a method for fault location of analog circuit with tolerance is presented, which is based on testability theory and ambiguity group concept. In the proposed method, only a small number of samples are needed to train the BPNN, and this method is robust. |
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| Keywords: | Analog circuit fault diagnosis testability neural network. |
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