| 液压泵故障诊断的神经网络方法 |
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| 引用本文： | 王少萍,王占林.液压泵故障诊断的神经网络方法[J].北京航空航天大学学报,1997,23(6):714-718. |
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| 作者姓名： | 王少萍 王占林 |
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| 作者单位： | 北京航空航天大学自动控制系 |
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| 摘 要： | 利用神经网络方法解决液压泵多故障诊断的问题。文中通过对液压泵故障机理的分析，针对液压泵多故障模式提出了利用集成ＢＰ网络进行多故障诊断的策略。理论和实验结果分析表明，利用神经网络方法可以有效地诊断知识别液压泵多故障模式，其识别率随着学习样本量的增大而提高。
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| 关 键 词： | 故障诊断 神经网络 液压泵 航空 柱塞泵 |
FAULT DIAGNOSIS OF HYDRAULIC PUMP BASED ON ARTIFICIAL NEURAL NETWORK |
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| Wang Shaoping\ Wang Zhanlin.FAULT DIAGNOSIS OF HYDRAULIC PUMP BASED ON ARTIFICIAL NEURAL NETWORK[J].Journal of Beijing University of Aeronautics and Astronautics,1997,23(6):714-718. |
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| Authors: | Wang Shaoping\ Wang Zhanlin |
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| Abstract: | Artifical Neural Network(ANN) is applied to solve the problem of multi failures diagnosis of hydraulic pump.Based on the fault mechanism of typical failures,this paper suggests the multi failures diagnosis tactics by using integrated BP networks.The theory and experiments indicate that the integrated BP networks method can effectively diagnose and distinguish the multi failures of hydraulic pump.And the multi failures distinguishing rate increases with the expanding the learning samples. |
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| Keywords: | fault diagnosis neural networks hydraulic pumps |
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