| 电液伺服阀的改进型智能故障诊断研究 |
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| 引用本文： | 傅连东,陈奎生,曾良才,张安龙. 电液伺服阀的改进型智能故障诊断研究[J]. 武汉科技大学学报(自然科学版), 2007, 30(2): 164-167 |
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| 作者姓名： | 傅连东 陈奎生 曾良才 张安龙 |
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| 作者单位： | 武汉科技大学机械自动化学院,湖北,武汉,430081 |
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| 摘 要： | 将改进的遗传算法和BP神经网络相结合，应用于电液伺服阀的故障诊断中，通过实验数据反映了改进后的GA-BP算法用于故障诊断的优越性，同时也表明了新算法用于故障诊断的有效性、准确性和快速性。
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| 关 键 词： | 遗传神经网络 智能诊断 电液伺服阀 |
| 文章编号： | 1672-3090(2007)02-0164-04 |
| 修稿时间： | 2006-10-08 |
Research on the improved intelligent fault diagnosis for electro-hydraulic servo valve |
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| Fu Liandong,Chen Kuisheng,Zeng Liangcai,Zhang Anlong. Research on the improved intelligent fault diagnosis for electro-hydraulic servo valve[J]. Journal of Wuhan University of Science and Technology(Natural Science Edition), 2007, 30(2): 164-167 |
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| Authors: | Fu Liandong Chen Kuisheng Zeng Liangcai Zhang Anlong |
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| Affiliation: | College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | This article combines the improved genetic algorithm with BP neural network to obtain a new algorithm, which is used in the fault diagnosis of electro-hydraulic servo valve. The data from experiment proves the superiority of the improved GA-BP algorithm and justifies the validity, accuracy and rapidity of the new algorithm in fault diagnosis. |
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| Keywords: | genetic algorithm neural network intelligent diagnosis electro-hydraulic servo valve |
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