| 神经网络技术与小波分析相结合的故障诊断方法 |
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| 引用本文： | 方敏,任子晖,刘薛萍.神经网络技术与小波分析相结合的故障诊断方法[J].制冷空调与电力机械,2006,27(6):25-27. |
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| 作者姓名： | 方敏 任子晖 刘薛萍 |
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| 作者单位： | 中国矿业大学,江苏,徐州,221008 |
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| 摘 要： | 提出了一种将神经网络技术与小波分析相结合的故障诊断方法,对诊断对象进行时域信号采集,通过小波分析,获得所需参数,再将此参数作为神经网络的输入量,从而达到故障诊断的目的.
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| 关 键 词： | 神经网络 小波分析 故障诊断 |
| 文章编号： | 1006-8449(2006)06-0025-03 |
| 修稿时间： | 2006年3月9日 |
Method of Fault Diagnosis Based on Neural Networks and Wavelet Analysis |
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| FANG Min,REN Zi-hui,LIU Xue-ping.Method of Fault Diagnosis Based on Neural Networks and Wavelet Analysis[J].Refrigeration Air Conditioning & Electric Power Machinery,2006,27(6):25-27. |
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| Authors: | FANG Min REN Zi-hui LIU Xue-ping |
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| Abstract: | A technique of fault diagnosis based on wavelet transform analysis and neural networks was presented. Through collecting the signal in time scale,the parameter features were obtained by wavelet analysis which can be the inputs vector of BP neural networks, so that the system can accurately diagnose the fault. |
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| Keywords: | neural networks wavelet analysis faults diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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