| 液压泵故障诊断的小波-神经网络方法 |
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| 引用本文： | 毋文峰,王汉功,陈小虎.液压泵故障诊断的小波-神经网络方法[J].机床与液压,2007,35(5):230-232. |
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| 作者姓名： | 毋文峰 王汉功 陈小虎 |
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| 作者单位： | 第二炮兵工程学院,西安,710025 |
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| 摘 要： | 针对利用压力信号进行故障诊断的液压齿轮泵,分析了液压齿轮泵的压力脉动机理,研究了应用小波分析进行齿轮泵压力信号的特征提取,利用RBF网络进行故障识别和诊断的方法,建立了相应的RBF神经网络,试验表明小波分析-RBF神经网络方法可对液压齿轮泵的常见故障进行识别和诊断.
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| 关 键 词： | 液压泵 故障诊断 压力信号 小波分析 RBF网络 液压泵 故障诊断 小波分析 神经网络 网络方法 Pump Fault Diagnosis Network Method Neural 故障识别 常见故障 试验 特征提取 液压齿轮泵 应用 研究 机理 压力脉动 压力信号 利用 |
| 文章编号： | 1001-3881(2007)5-230-3 |
| 修稿时间： | 2006-05-19 |
Wavelet and Neural Network Method for Fault Diagnosis of Hydraulic Pump |
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| WU Wenfeng,WANG Hangong,CHEN Xiaohu.Wavelet and Neural Network Method for Fault Diagnosis of Hydraulic Pump[J].Machine Tool & Hydraulics,2007,35(5):230-232. |
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| Authors: | WU Wenfeng WANG Hangong CHEN Xiaohu |
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| Abstract: | Pressure signals were used for the fault diagnosis of gear pump, the mechanism of pressure pulsation was analyzed. The wavelet decomposition-reconstruction algorithm of pressure signals and the methods of fault pattern identifying by using RBF network were studied, and the RBF neural network was established. The experimental results indicate the method is feasible. |
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| Keywords: | Hydraulic pump Fault diagnosis Pressure signal Wavelet analysis RBF network |
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