| 基于小波包和BP神经网络的滚动轴承故障诊断 |
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| 引用本文： | 杨勇,程珩,陈法法. 基于小波包和BP神经网络的滚动轴承故障诊断[J]. 煤矿机电, 2008, 0(1): 50-52 |
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| 作者姓名： | 杨勇 程珩 陈法法 |
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| 作者单位： | 太原理工大学,机械电子工程研究所,山西,太原,030024 |
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| 摘 要： | 基于Matlab平台,利用小波包技术对滚动轴承典型故障的振动信号提取特征值,再借助BP神经网络对特征值进行分类,经验证该方法能够准确识别故障。
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| 关 键 词： | 滚动轴承 故障诊断 小波包 BP神经网络 |
| 文章编号： | 1001-0874（2008）01-0050-02 |
| 收稿时间： | 2007-08-06 |
| 修稿时间： | 2007-08-06 |
Roller Bearing Fault Diagnosis Based on Wavelet Packet and BP Neural Network |
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| YANG Yong,CHENG Hang,CHEN Fa-fa. Roller Bearing Fault Diagnosis Based on Wavelet Packet and BP Neural Network[J]. Colliery Mechanical & Electrical Technology, 2008, 0(1): 50-52 |
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| Authors: | YANG Yong CHENG Hang CHEN Fa-fa |
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| Affiliation: | YANG Yong,CHENG Hang,CHEN Fa-fa(Institute of Mechatronics,Taiyuan University of Science , Engineering,Taiyuan 030024,China) |
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| Abstract: | This topic bases on the Matlab platform extracts eigenvalues of typical fault vibration signal by wavelet packet technology, and with the help of back-propagation neural network classifies eigenvalues. The examination proves that the method can accurately identify the faults. |
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| Keywords: | roller bearing fault diagnosis wavelet packet BP(back-propagation) neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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