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Study of synthesis identification in cutting process with fuzzy neural network

机译:基于模糊神经网络的切削过程综合识别研究

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With the development of intelligent manufacturing system, the requirements of the stability andreliability are more and more important especially in NC cutting process. The method of traditional and singleworking condition monitoring can’t be fully satisfied. In this paper, an Artificial Neural Network with fuzzy logic,signal processing and other techniques are composed, and a method of the synthesis identification and diagnosison the working condition with the model of compound fuzzy inference Neural Network has been tested andyielded good result, so the stability and reliability of on-line monitoring and diagnosis is rationally expected to berealized.
机译:随着智能制造系统的发展,对稳定性和稳定性的要求 可靠性越来越重要,尤其是在NC切割过程中。传统和单一的方法 工作状态监控无法完全满足。在本文中,一种具有模糊逻辑的人工神经网络, 组成信号处理等技术,并提出了一种综合识别与诊断的方法 用复合模糊推理神经网络模型对工作条件进行了测试和 取得了良好的效果,因此可以合理地预期在线监测和诊断的稳定性和可靠性 实现。

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