| BP神经网络在基于铁谱技术的磨损状态评价体系中的应用 |
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| 引用本文： | 赵雪红,樊建春,张来斌.BP神经网络在基于铁谱技术的磨损状态评价体系中的应用[J].润滑与密封,2005(1):86-88. |
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| 作者姓名： | 赵雪红 樊建春 张来斌 |
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| 作者单位： | 石油大学(北京)机电学院,北京,102249 |
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| 基金项目： | 国家自然科学基金资助项目(50105015,50375103)，北京市科技新星资助项目(2003B33) |
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| 摘 要： | 根据智能化铁谱状态监测的要求，将对设备磨损状态反应比较敏感的三个定量铁谱参数作为输入参数，应用BP神经网络对设备的磨损状态进行了自动识别。经过现场验证，此方法结合定性铁谱分析可以较准确地评判设备的磨损状态级别。
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| 关 键 词： | 磨损状态 铁谱技术 设备磨损 状态监测 铁谱分析 现场 自动识别 BP神经网络 输入参数 验证 |
| 文章编号： | 0254-0150(2005)1-086-3 |
| 修稿时间： | 2004年3月3日 |
The Application of BP Neural Network in the Wear Condition Evaluating System Based on Ferrography |
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| Zhao Xuehong,Fan Jianchun,Zhang Laibin.The Application of BP Neural Network in the Wear Condition Evaluating System Based on Ferrography[J].Lubrication Engineering,2005(1):86-88. |
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| Authors: | Zhao Xuehong Fan Jianchun Zhang Laibin |
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| Abstract: | In the light of the need of intellectualized ferrographic technology,three quantitative parameters which are sensitive to wear condition were chosen as input parameters,then BP neutral network was applied to auto-analyze wear condition of machine.On the basis of practice,this method combines with qualitative ferrographic analysis can evaluate the wear condition degree of machine accurately. |
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| Keywords: | ferrographic technology evaluation of wear condition neutral network |
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