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RBF神经网络在机电设备故障诊断中的应用
引用本文:邓志辉,朱江,张西良. RBF神经网络在机电设备故障诊断中的应用[J]. 农业机械化与电气化, 2009, 0(1): 41-43
作者姓名:邓志辉  朱江  张西良
作者单位:常州信息职业技术学院机电工程系;江苏大学机械工程学院;
摘    要:为提高机电设备故障的判断能力,实现设备故障诊断智能化,根据机电设备故障诊断的特点,介绍将RBF神经网络技术应用于机电设备故障诊断系统的基本原理及方法,详细分析该技术在机电设备上的实现过程,并以机电设备故障诊断为例,验证该方法的有效性。

关 键 词:农业工程  机电设备  RBF神经网络  设计  故障诊断  应用

Application of RBF Neural Network in Fault Diagnosis of Electromechanical Equipment
DENG Zhihui,ZHU Jiang,ZHANG Xiliang. Application of RBF Neural Network in Fault Diagnosis of Electromechanical Equipment[J]. , 2009, 0(1): 41-43
Authors:DENG Zhihui  ZHU Jiang  ZHANG Xiliang
Affiliation:1.Department of Mechanical and Electrical Engineering;Changzhou College of Information Technology;Changzhou Jiangsu 213164;China;2.College of Mechanical Engineering;Jiangsu University;Zhenjiang Jiangsu 212013;China
Abstract:In order to enhance the diagnosis ability and actualize intelligent diagnosis for electromechanical equipment fault,the basic principle and method of application of RBF neural network technique for electromechanical equipment were introduced according to the characteristics of fault diagnosis,and the realization process of the technology was analyzed in detail.In the end,the validity of this method was proved through an example of fault diagnosis of electromechanical equipment.
Keywords:agricultural engineering  electromechanical equipment  RBF neural network  design  diagnosis  application  
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