| 基于神经网络的轴承故障预测模型 |
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| 引用本文： | 韩昕锋,任立坤.基于神经网络的轴承故障预测模型[J].海军航空工程学院学报,2015,30(3):281-285. |
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| 作者姓名： | 韩昕锋 任立坤 |
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| 作者单位： | 1. 海军装备部装备采购中心,北京,100071
2. 海军航空工程学院7系,山东烟台,264001 |
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| 摘 要： | 利用在故障预测领域广泛应用的神经网络模型,对轴承监测数据的特征提取与建模,挖掘出监测数据与剩余寿命间内在关联,从而对轴承剩余寿命做出评估。在轴承全寿命数据的实际实验中,证实了该模型的有效性。
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| 关 键 词： | 故障预测 神经网络 状态监测 |
Prognostics Model of Bearing Fault Based on Neural Networks |
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| HAN Xinfeng and REN Likun.Prognostics Model of Bearing Fault Based on Neural Networks[J].Journal of Naval Aeronautical Engineering Institute,2015,30(3):281-285. |
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| Authors: | HAN Xinfeng and REN Likun |
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| Institution: | Procurement Center of NED, Beijing 100073, China and No.7 Department, NAAU, Yantai Shandong 264001, China |
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| Abstract: | In this paper, neural networks were used to estimate the remaining useful life of the bearings. Through the featureextraction and modeling process, the intrinsic connection between monitoring data and remaining useful life was dig out, soas to evaluate the residual life of bearing. In the experiment, the effectiveness of the model was verified. |
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| Keywords: | fault prognostics neural networks state monitoring |
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