| 神经网络ART模型在故障诊断中的应用 |
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| 引用本文： | 芮勇,金丕彦.神经网络ART模型在故障诊断中的应用[J].数据采集与处理,1994,9(2):90-95. |
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| 作者姓名： | 芮勇 金丕彦 |
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| 作者单位： | 清华大学自动化系，东南大学自动控制系 |
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| 摘 要： | 讨论了目前最成功的一种无导师神经网络模型──自适应谐振理论ＡＲＴ。分析了ＡＲＴ的工作原理，给出了ＡＲＴ的具体算法（已在ＰＣ－４８６上用Ｃ语言实现）；指出了ＡＲＴ的实质，并以“有轨自动物料搬运小车系统”为例详述了ＡＲＴ在故障诊断中的工作过程，获得了很好的结果。
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| 关 键 词： | 神经网络 ART模型 故障诊断 |
The Application of Artificial Neural Network ART Model in Fault Diagnosis |
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| Rui Yong.The Application of Artificial Neural Network ART Model in Fault Diagnosis[J].Journal of Data Acquisition & Processing,1994,9(2):90-95. |
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| Authors: | Rui Yong |
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| Abstract: | The importance of Fault Diagnosis and research of Artificial Neural Networks(ANN) are discussed in this paper. After analysis of BP model's drawbacks, a very successful non-teacher ANN model (ART) is introduced. The ART algorithm is realized in C language in PC--486. An example is provided to illustrate the advantages of ART and the procedures of Fault Diagnosis using ART. The results are quite good and ART model is obviously more intelligent than other ANd model. |
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| Keywords: | artificial intelligence neural networks adaptive control trouble diagnosis adaptive resonance theory (ART) non-teacher model |
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