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Received:January 15, 2015 Revised:March 18, 2015
Received:January 15, 2015 Revised:March 18, 2015
中文摘要: 以FANUC 0i数控机床为研究对象,对进给系统的典型故障现象和原因进行深入分析. 提出一种模糊神经网络和专家系统互补的数控机床进给系统故障诊断方法及原理, 并给出采用VC.NET实现的具体方案.
Abstract:Taking FANUC 0i NC machine tool as the object of study, a depth analysis to the typical fault phenomenon and reason of the feed system is conducted. Based on the complementation of fuzzy neural network and expert system, a principle and method of fault diagnosis of NC machine tool feed system is proposed. And it gives a concrete implementation scheme based on VC.NET in this paper finally.
keywords: NC machine fault diagnosis feed system artificial intelligence fuzzy neural network expert system
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| ZHANG Xin-Liang | Mechanic Engineering College, Congqing Industry Polytecnic College, Chongqing 401120, China |
| Author Name | Affiliation |
| ZHANG Xin-Liang | Mechanic Engineering College, Congqing Industry Polytecnic College, Chongqing 401120, China |
引用文本：
张新亮.数控机床进给伺服系统故障诊断的人工智能实现.计算机系统应用,2015,24(9):256-260
ZHANG Xin-Liang.Fault Diagnosis of CNC Machine Tool of Feed Servo System via Artificial Intelligence Method.COMPUTER SYSTEMS APPLICATIONS,2015,24(9):256-260
张新亮.数控机床进给伺服系统故障诊断的人工智能实现.计算机系统应用,2015,24(9):256-260
ZHANG Xin-Liang.Fault Diagnosis of CNC Machine Tool of Feed Servo System via Artificial Intelligence Method.COMPUTER SYSTEMS APPLICATIONS,2015,24(9):256-260
