| 汽车变速箱齿轮状态识别方法的研究 |
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| 引用本文： | 张成宝,丁玉兰,吴光强,羊拯民.汽车变速箱齿轮状态识别方法的研究[J].同济大学学报(自然科学版),2000,28(2):236-240. |
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| 作者姓名： | 张成宝 丁玉兰 吴光强 羊拯民 |
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| 作者单位： | 1. 同济大学,机械工程系,上海,200092
2. 合肥工业大学,汽车工程系,安徽,合肥,230069 |
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| 摘 要： | 将时序建模方法和神经网络技术结合 ,利用时序参数对网络进行训练 ,建立齿轮状态的分类网络 ,对变速箱的齿轮状态进行识别 .经验证表明该方法是行之有效的
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| 关 键 词： | 故障诊断 时间序列 神经网络 齿轮 |
Research on Identification Method of Transmission Gear States |
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| ZHANG Cheng-bao,DING Yu-lan,WU Guang-qiang,YANG Zheng-min.Research on Identification Method of Transmission Gear States[J].Journal of Tongji University(Natural Science),2000,28(2):236-240. |
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| Authors: | ZHANG Cheng-bao DING Yu-lan WU Guang-qiang YANG Zheng-min |
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| Abstract: | Time series method combines with neural network technology in this paper. The classified network of gear states is built through training the network with time series parameters. And the gear states of transmission are identified. The results are correct in comparison with the test. And it shows that the method is effective in practice. |
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| Keywords: | fault diagnosis time series neural network gear |
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