| 基于神经网络的滚动轴承检测 |
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| 引用本文： | 庄哲民,林志强.基于神经网络的滚动轴承检测[J].仪器仪表学报,2000,21(1):73-74,82. |
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| 作者姓名： | 庄哲民 林志强 |
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| 作者单位： | 1. 汕头大学电子工程系,汕头,515063
2. 东南大学电子工程系,南京,210018 |
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| 摘 要： | 本文介绍了一种基于人工神经网络进行滚动轴承故障检测的新方法，文中利用加速度计获得滚动轴承的动态振动信息，为滚动轴承建立了动态非线性神经网络模型，并利用该模型进行在线故障检测，实际使用证明该模型具有良好的收敛性和稳定性和完全能满足对滚动轴承故障的在线检测。
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| 关 键 词： | 滚动轴承 神经网络 故障检测 非线性 |
ANN-based Fault Testing on Roolling Bearing |
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| Zhuang Zhemin,Lin Zhiqiang.ANN-based Fault Testing on Roolling Bearing[J].Chinese Journal of Scientific Instrument,2000,21(1):73-74,82. |
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| Authors: | Zhuang Zhemin Lin Zhiqiang |
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| Affiliation: | Zhuang Zhemin (Dept. of Electrical Engineer Shantou University Shantou 515063 China) Lin Zhiqiang (Dept. of Electrical Engineer Southeast University Nanjing 210018 China) |
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| Abstract: | This paper describes a new method for fault detection on rolling bearing.The dynamic non linear mo del based neural networks is found by dynamic vibration information gained from acceleration meter.Furthermore,the on line fault diagnosis is implemented with the model.The model with good astringency and stabiity can meet needs for bearing on line detection completely. |
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| Keywords: | Rolling bearing Neural networks Fault testing Non linear |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
