张研, 王海博, 王艺颖. 基于模糊神经网络的数控机床故障诊断技术研究[J]. 黄河水利职业技术学院学报, 2019, 31(2): 36-42. DOI: 10.13681/j.cnki.cn41-1282/tv.2019.02.008
    引用本文: 张研, 王海博, 王艺颖. 基于模糊神经网络的数控机床故障诊断技术研究[J]. 黄河水利职业技术学院学报, 2019, 31(2): 36-42. DOI: 10.13681/j.cnki.cn41-1282/tv.2019.02.008
    shu
    Zhang Yan, Wang Haibo, Wang Yiying. Research on CNC Machine Fault Diagnosis Technology Based on Fuzzy Neural Network[J]. Journal of Yellow River Conservancy Technical Institute, 2019, 31(2): 36-42. DOI: 10.13681/j.cnki.cn41-1282/tv.2019.02.008
    Citation: Zhang Yan, Wang Haibo, Wang Yiying. Research on CNC Machine Fault Diagnosis Technology Based on Fuzzy Neural Network[J]. Journal of Yellow River Conservancy Technical Institute, 2019, 31(2): 36-42. DOI: 10.13681/j.cnki.cn41-1282/tv.2019.02.008
    shu

    基于模糊神经网络的数控机床故障诊断技术研究

    Research on CNC Machine Fault Diagnosis Technology Based on Fuzzy Neural Network

      摘要
    • 摘要: 为了解决数控机床故障诊断复杂的问题，应用神经网络技术，并结合模糊逻辑推理方法，构建了数控机床故障诊断模型。结合一台搭载FANUC 系统的数控机床，选取典型的故障现象与故障原因作为样本，探讨了该模型在数控机床故障诊断中的应用。

       

      Abstract: In order to solve the complex problem of CNC machine fault diagnosis, it constructs a CNC machine fault diagnosis model by using neural network and fuzzy logic reasoning. Selecting the typical fault phenomena and reason of a CNC machine with FANUC system as examples, it explores and discusses the application of this model to CNC machine fault diagnosis.

       

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