| 基于模糊神经网络的离心式压缩机故障诊断 |
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| 引用本文： | 刘红军,张晓刚. 基于模糊神经网络的离心式压缩机故障诊断[J]. 化工自动化及仪表, 2017, 44(3). DOI: 10.3969/j.issn.1000-3932.2017.03.012 |
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| 作者姓名： | 刘红军 张晓刚 |
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| 作者单位： | 新疆西部明珠工程建设有限公司 |
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| 摘 要： | 利用模糊神经网络建立离心式压缩机故障诊断模型,使用梯度下降法进行学习训练,引用万能逼近定理设计离心式压缩机非线性系统函数逼近误差公式。仿真结果表明:出现故障后,逼近误差函数能够精确诊断离心式压缩机故障。
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| 关 键 词： | 模糊神经网络 离心式压缩机 故障诊断 万能逼近定理 逼近误差 |
Fault Diagnosis of Centrifugal Compressor Based on Fuzzy Neural Network |
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| LIU Hong-jun,ZHANG Xiao-gang. Fault Diagnosis of Centrifugal Compressor Based on Fuzzy Neural Network[J]. Control and Instruments In Chemical Industry, 2017, 44(3). DOI: 10.3969/j.issn.1000-3932.2017.03.012 |
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| Authors: | LIU Hong-jun ZHANG Xiao-gang |
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| Abstract: | Making use of fuzzy neural network to establish a fault diagnosis model for the centrifugal compres-sor was implemented,including the application of gradient descent method to the learning training,and citing the universal approximation theorem to design nonlinear function approximation error formula for the centrifugal compressor system.The simulation results show that,the approximation function can accurately diagnose the fault of centrifugal compressor when any failure emerges there. |
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| Keywords: | fuzzy neural network centrifugal compressor fault diagnosis universal approximation theorem approximation error |
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