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]. 工程科学学报, 1995, 17(3): 264-269. DOI: 10.13374/j.issn1001-053x.1995.03.013
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]. 工程科学学报, 1995, 17(3): 264-269. DOI: 10.13374/j.issn1001-053x.1995.03.013
Pan Ziwei, Xu Jinwu. Adaptive Failure Pattern Classification Method based on Neural Networks[J]. Chinese Journal of Engineering, 1995, 17(3): 264-269. DOI: 10.13374/j.issn1001-053x.1995.03.013
Citation: Pan Ziwei, Xu Jinwu. Adaptive Failure Pattern Classification Method based on Neural Networks[J]. Chinese Journal of Engineering, 1995, 17(3): 264-269. DOI: 10.13374/j.issn1001-053x.1995.03.013

基于神经网络的自适应故障模式分类方法

Adaptive Failure Pattern Classification Method based on Neural Networks

  • 摘要: 在深入研究APT-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。

     

    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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