| 基于规则的核电站故障诊断神经网络系统研制 |
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| 引用本文： | 申世飞,李锋.基于规则的核电站故障诊断神经网络系统研制[J].计算机工程与应用,2003,39(22):212-214,232. |
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| 作者姓名： | 申世飞 李锋 |
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| 作者单位： | 清华大学工程物理系,北京,100084 |
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| 基金项目： | 国际原子能机构资助项目(编号:8038/RB) |
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| 摘 要： | 人工神经网络方法越来越多地用于核电站诊断系统中,但是由于神经网络训练需要大量的训练样本并且诊断过程的不透明性,使得人工神经网络的应用受到限制。论文提出了一种人工神经网络故障诊断系统,结合了人工神经网络、模糊控制技术和专家系统的优点,使诊断过程易于理解,而且能够获得相应的解释,有更大的适应性。
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| 关 键 词： | 人工神经网络 核电站故障诊断系统 基于规则的方法 |
| 文章编号： | 1002-8331-(2003)22-0212-03 |
The Design of Rule-based Neural Network System for Fault Diagnosis of Nuclear Power Plant |
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| Shen Shifei Li,Feng.The Design of Rule-based Neural Network System for Fault Diagnosis of Nuclear Power Plant[J].Computer Engineering and Applications,2003,39(22):212-214,232. |
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| Authors: | Shen Shifei Li Feng |
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| Abstract: | Artificial neural network(ANN)is used in diagnosis system of nuclear power plant increasingly.However,Ow-ing to large numbers of samples that training needs and the opacity of diagnostic procedure,applications of neural net-work are limited.In this paper a diagnostic system based neural network,combining artificial neural network,fuzzy tech-nology and expert system,is presented,and the system,with large adaptability,makes diagnostic process easy to under-stand and has explication capability to reasoning procedure. |
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| Keywords: | Artificial neural network Fault diagnostic system of nuclear power plant Rule-based method |
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