| 基于BP神经网络和振动测量的轴承故障诊断 |
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| 引用本文： | 高佃波,刘红光,陆森林.基于BP神经网络和振动测量的轴承故障诊断[J].长沙交通学院学报,2006,22(2):64-67. |
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| 作者姓名： | 高佃波 刘红光 陆森林 |
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| 作者单位： | 江苏大学,汽车与交通工程学院,江苏,镇江,212013 |
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| 摘 要： | 根据BP算法神经网络模型,通过对轴承振动测量的分析,得到故障诊断的方法。阐述BP神经网络应用于轴承故障的基本步骤,包括BP网络结构、状态编码、网络训练、模式识别以及诊断实例分析。指出了BP神经网络在轴承故障诊断中的应用中存在的问题和发展方向。
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| 关 键 词： | 神经网络 振动测量 轴承 故障诊断 |
| 文章编号： | 1000-9779(2006)02-0064-04 |
| 收稿时间： | 01 12 2006 12:00AM |
| 修稿时间： | 2006年1月12日 |
Bearing Fault Diagnosis Based on BP Neural Network and Vibration Measurement |
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| GAO Dian-bo,LIU Hong-guang,LU Sen-lin.Bearing Fault Diagnosis Based on BP Neural Network and Vibration Measurement[J].Journal of Changsha Communications University,2006,22(2):64-67. |
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| Authors: | GAO Dian-bo LIU Hong-guang LU Sen-lin |
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| Institution: | School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China |
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| Abstract: | According to the model of back-propagation algorithm neural network,the method about fault diagnosis is obtained by the analysis of bearing vibration measurement.The expounded basic step of BP network in bearing fault diagnosis includes BP network and state assignment,network training,pattern recognition and instant analysis of diagnosis.The applications of BP network in bearing fault diagnosis are summarized;the problems and direction of its development are also discussed. |
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| Keywords: | neural network vibration measurement bearing fault diagnosis |
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