| 基于神经网络的自适应故障模式分类方法 |
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| 引用本文： | 潘紫微,徐金梧.基于神经网络的自适应故障模式分类方法[J].北京科技大学学报,1995,17(3):264-269. |
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| 作者姓名： | 潘紫微 徐金梧 |
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| 作者单位： | 北京科技大学机械工程学院 |
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| 摘 要： | 在深入研究ＡＲＴ－２神经网络结构的基础上，提出了一种基于神经网络的自适应故障模式分类方法，并应用在轴承故障诊断中，结果表明：该方法对轴承故障模式具有自学习，快速稳定的识别能力。
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| 关 键 词： | 故障诊断 神经网络 轴承 模式识别 |
Adaptive Failure Pattern Classification Method based on Neural Networks |
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| Pan Ziwei, Xu Jinwu.Adaptive Failure Pattern Classification Method based on Neural Networks[J].Journal of University of Science and Technology Beijing,1995,17(3):264-269. |
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| Authors: | Pan Ziwei Xu Jinwu |
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| Abstract: | The adaptive failure pattern classificationmethod based on neural network is presented through the study of ART-2 neural networks and it is put into application on bearing diagnosis. The results indicate that this method has recognizing abilities of fast, stable and self-adaptive response for bearing fault pattern. |
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| Keywords: | failure diagnosis neural networks bearing pattern recognition ART-2 networks |
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