| 基于神经网络的智能故障诊断系统的开发研究 |
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| 引用本文： | 潘传友,陈幼平,史玉升,周祖德.基于神经网络的智能故障诊断系统的开发研究[J].机械与电子,2001,1(4):33-36. |
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| 作者姓名： | 潘传友 陈幼平 史玉升 周祖德 |
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| 作者单位： | 华中科技大学 机械科学与工程学院, |
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| 摘 要： | 针对传统专家系统在故障诊断领域应用中的局限性，提出了将神经网络理论与专家系统技术相结合的混合方法用于现代制造系统的故障诊断过程，并介绍了神经网络的智能故障诊断系统的体系结构，并对系统性能和构建中的一些关键技术，如神经网络构造、数据准备和网络训练等进行了探索和分析。
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| 关 键 词： | BP神经网络 专家系统 故障诊断 |
| 文章编号： | 1001-2257(2001)04-0033-04 |
Development of a NeuralNetworkBased Intelligent Fault Diagnosis System |
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| PAN Chuanyou,CHEN Youping,SHI Yusheng,ZHOU Zude.Development of a NeuralNetworkBased Intelligent Fault Diagnosis System[J].Machinery & Electronics,2001,1(4):33-36. |
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| Authors: | PAN Chuanyou CHEN Youping SHI Yusheng ZHOU Zude |
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| Abstract: | A hybrid method of the neural network and the expert system is proposed for the fault diagnosis of modern manufacturing systems to solve the limitation of traditional expert systems. The general architecture of the neuralnetworkbased intelligent fault diagnosis system is presented and the key technologies, such as neural network building, data preparing, neural network training and etc, are studied and analyzed. Finally, as an application, the capability of this system is analyzed. |
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| Keywords: | backpropagation neural network expert system fault diagnosis |
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