| 基于小波降噪神经网络的旋转机械故障诊断 |
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| 引用本文： | 胡爱军,田丽洁,唐贵基,王维珍.基于小波降噪神经网络的旋转机械故障诊断[J].噪声与振动控制,2005,25(5):24-28. |
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| 作者姓名： | 胡爱军 田丽洁 唐贵基 王维珍 |
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| 作者单位： | 华北电力大学,机械工程学院,河北,保定,071003 |
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| 基金项目： | 华北电力大学校科研和教改项目 |
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| 摘 要： | 实测信号往往受到多种因素的干扰,如高频噪声.提出了一种小波降噪神经网络的故障诊断方法,利用小波的多重分辨率分析,有效降低高频噪声干扰,从而简化了有效特征信号的提取.建立了基于小波变换和BP神经网络的混合诊断模型,成功地对故障进行了智能诊断.最后实验验证了此种方法的有效性.
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| 关 键 词： | 振动与波 小波变换 降噪 神经网络 旋转机械 故障诊断 |
| 文章编号： | 1006-1355(2005)05-0024-04 |
| 收稿时间： | 2005-01-04 |
| 修稿时间： | 2005-03-16 |
Fault Diagnosis of Rotation Machine Based on Wavelet De-Noising Neural Network |
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| HU Ai-jun,TIAN Li-jie,TANG Gui-ji,WANG Wei-zhen.Fault Diagnosis of Rotation Machine Based on Wavelet De-Noising Neural Network[J].Noise and Vibration Control,2005,25(5):24-28. |
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| Authors: | HU Ai-jun TIAN Li-jie TANG Gui-ji WANG Wei-zhen |
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| Affiliation: | Mechanical Engineering Institute, North China Electric Power University, Baoding 071003, China |
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| Abstract: | The combination usage of wavelet transform and artificial neural network in the diagnosis of rotation machine. The signal of rotation machine has analyzed based on wavelet theory, and a feasible means is put forward for the signal de-noising, so fault character can be simplified by applying wavelet transform upon the FFT. A mixed model based on WT and BP network is constructed, which provides a feasible technique support for fault diagnosis of rotation machine. |
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| Keywords: | wavelet transform de-noising neural network rotation machine fault diagnosis |
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