| 基于模糊神经网络的液压系统故障诊断方法 |
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| 引用本文： | 王益群,高英杰,孔祥东. 基于模糊神经网络的液压系统故障诊断方法[J]. 液压气动与密封, 2001, 0(5): 20-22 |
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| 作者姓名： | 王益群 高英杰 孔祥东 |
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| 作者单位： | 王益群（燕山大学） |
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| 基金项目： | 国家九五科技攻关项目和博士点基金资助项目. |
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| 摘 要： | 根据专家系统基本原理，结合古典信号处理方法、模糊理论、神经网络理论，建立了系统故障诊断系统的结构形式和学习算法。以此为基础编制了厚度自动控制（AGC）系统故障诊断专家系统软件。利用模糊诊断理论进行模糊推理以解决系统故障的实时诊断，利用神经网络对模糊推理模型训练以提高诊断的准确率，并可对未知的知识进行学习和补充。通过实验证明所用方法有效。
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| 关 键 词： | 故障诊断 专家系统 液压AGC系统 模糊推理 神经网络 板带轧机 |
| 修稿时间： | 2001-08-03 |
Fault Diagnosis Approach for Hydraulic System Based on Fuzzy Neural Networks |
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| Wang Yiqun Gao Yingjie Kong Xiangdong. Fault Diagnosis Approach for Hydraulic System Based on Fuzzy Neural Networks[J]. Hydraulics Pneumatics & Seals, 2001, 0(5): 20-22 |
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| Authors: | Wang Yiqun Gao Yingjie Kong Xiangdong |
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| Abstract: | According to the ultimate of expert sytem,compound with the classical method of signal processing,fuzzy theory and neural networks theory,the framework of fault detecting and diagnosis(FDD)expert system is set up,and a set of FDD software for the hydraulic automatic gauge control(AGC)is made.Using a neural network to train the fuzzy reasoning modal,then making use of this modal to diagnose the faults of the system,the real time fault diagnosing for the system can be realized,the diagnosing precision can be enhanced,and the new information for the expert system can be renewed.The approach is approved in effect via the experiment. |
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| Keywords: | Fault diagnosis expert systems hydraulic AGC system fuzzy reasoning neural networks |
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