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神经网络专家系统在数控机床机械故障诊断中的应用
引用本文:陈会莲,谷明月,池丹丹,乔艳萍.神经网络专家系统在数控机床机械故障诊断中的应用[J].噪声与振动控制,2010,30(1):86-88.
作者姓名:陈会莲  谷明月  池丹丹  乔艳萍
作者单位:(唐山科技职业技术学院,河北唐山063001)
基金项目:河北省科学技术研究与发展计划项目 
摘    要:依据单一的专家系统或神经网络在处理故障诊断中各自存在着局限性,提出将神经网络技术与专家系统融合的集成式故障诊断专家系统,并用于数控机床的机械故障诊断中。介绍神经网络专家系统结构、特点及诊断方法,利用获得的机床机械故障知识、故障样本数据对系统进行验证。结果表明该系统人机界面友好,操作简单,有效地提高数控机床机械故障诊断的水平和效率。

关 键 词:振动与波  数控机床  神经网络  专家系统  故障诊断  
收稿时间:2009-4-7

Mechanical Breakdown Diagnosis of CNC Machine Using Neural Network Expert System
CHEN Hui-lian,GU Ming-yue,CHI Dan-dan,QIAO Yan-ping.Mechanical Breakdown Diagnosis of CNC Machine Using Neural Network Expert System[J].Noise and Vibration Control,2010,30(1):86-88.
Authors:CHEN Hui-lian  GU Ming-yue  CHI Dan-dan  QIAO Yan-ping
Affiliation:(Tangshan Technical College of Technology Occupation, Tangshan Hebei063000, China)
Abstract:Because of the limitations of a single-expert system or neural network system in fault diagnosis, a new integrative fault diagnosis expert system which combines neural network technique with expert system is proposed. This system is applied in the mechanical breakdown diagnosis of CNC machine. The structure, characteristics and diagnostic methods of the neural network expert system are introduced. The system is verified based on the knowledge of machine failure and sampling data of faults. The result shows that this system has friendly interface and is easy to handle. It raises the level and efficiency of mechanical fault diagnosis of CNC machines.
Keywords:vibration and wave  CNC machine  neural network  expert system  fault diagnosis
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