| 利用ART1网络进行故障诊断的方法研究 |
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| 引用本文： | 李洪,吴贻鼎. 利用ART1网络进行故障诊断的方法研究[J]. 电力系统及其自动化学报, 2003, 15(3): 23-27 |
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| 作者姓名： | 李洪 吴贻鼎 |
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| 作者单位： | 武汉大学电信学院,武汉,430072 |
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| 摘 要： | 此文系统地阐述了自适应共振理论及ARTl神经网络模型的基本概念、特点、结构和算法。在对故障诊断进行理论分析的基础上，结合ARTl神经网络对输入的要求，提出了一种阈值法结合ARTl神经网络进行故障诊断的方法，并对此方法进行了理论分析和仿真实验。仿真实验表明此方法能够进行正确的故障检测和故障分类。
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| 关 键 词： | 故障诊断 ARTl网络 神经网络 数学模型 非线性系统 |
| 修稿时间： | 2002-10-24 |
ART1 NEURAL NETWORK APPROACH TO FAULT DIAGNOSIS |
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| Li Hong Wu Yiding. ART1 NEURAL NETWORK APPROACH TO FAULT DIAGNOSIS[J]. Proceedings of the CSU-EPSA, 2003, 15(3): 23-27 |
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| Authors: | Li Hong Wu Yiding |
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| Abstract: | This paper expatiates the ART (Adaptive Resonance Theory) and the conception,the characteristics,the structure and the algorithm of ART1 Neural Network(ART1 NN)model.On the basis of the fault diagnosis and the requirement of the ART1 NN's input,a method presented by this paper uses the sill-method integrating ART1 NN to diagnose the system failure.The paper analyses its theoretic and has simulating experiments,which indicate that the method can detect and diagnose the failures and then it can classify the failures. |
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| Keywords: | ART ART1 Neural Network Fault diagnosis |
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