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| 齿轮故障诊断的神经网络方法 | |
| 引用本文： | 喻金平 阙师鹏. 齿轮故障诊断的神经网络方法[J]. 南方冶金学院学报, 1998, 19(3): 201-206 |
| 作者姓名： | 喻金平 阙师鹏 |
| 摘 要： | 以齿轮振动信号的时域特征作为神经网络输入，齿轮的主要故障形式作为神经网络输出，利用经ＢＰ算法训练后的该网络对齿轮故障进行诊断，取得了较好的效果。 |
| 关 键 词： | 神经网络 故障诊断 齿轮 振动 |
Neural Networks Method for Gear Faults Diagnosis |
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| Yu Jinping, Que Shipeng, Un Feifei. Neural Networks Method for Gear Faults Diagnosis[J]. Journal of Southern Institute of Metallurgy, 1998, 19(3): 201-206 | |
| Authors: | Yu Jinping Que Shipeng Un Feifei |
| Affiliation: | Deportment of Machinery |
| Abstract: | In this paper, using characteristics value of vibration signal of gear in therealm time as input of neural networks and using main fault type of gear as outputof neural networks, faults of gear are diagnosed by using neural networks that hasbeen trained with algorism BP and achieve fairly good results. |
| Keywords: | Neural networks Fault diagnosis Gear. |
| 本文献已被 CNKI 维普 等数据库收录！ | |