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人工神经网络与模糊算法相结合的自动设备故障诊断系统
引用本文:邵利 路莹 马立权. 人工神经网络与模糊算法相结合的自动设备故障诊断系统[J]. 大连轻工业学院学报, 2005, 24(3): 218-221
作者姓名:邵利 路莹 马立权
作者单位:大连轻工业学院信息科学与工程学院,辽宁大连116034
摘    要:介绍了一种神经网络与模糊算法相结合的自动设备故障诊断系统,即将人工神经网络对故障定位的一般搜索与模糊算法对故障定位的特殊规则相结合.系统运行结果说明本系统可以提高故障诊断的准确性.

关 键 词:人工神经网络 模糊计算 故障诊断
文章编号:1005-4014(2005)03-0218-04
收稿时间:2005-05-20
修稿时间:2005-05-20

Design of equipment fault diagnosis system by integrating the artificial neural network with fuzzy algorithms
SHAO Li , LUYing , MA Li-quan (School of Information Science. Design of equipment fault diagnosis system by integrating the artificial neural network with fuzzy algorithms[J]. Journal of Dalian Institute of Light Industry, 2005, 24(3): 218-221
Authors:SHAO Li    LUYing    MA Li-quan (School of Information Science
Abstract:This paper presents the design of an automatic equipment fault diagnosis system by integrating the general exploration procedure of artificial neural network with the specialized roles for faults allocation defined in fuzzy algorithms. The advantages of this method for improving the accuracy in fault diagnosis are revealed in program implementation.
Keywords:artificial neural network   fuzzy algorithm   fault diagnosis
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