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Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process 会议论文
作者:  Yan, Tao;  Lei, Yaguo;  Li, Naipeng
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/26
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines with Unlabeled Data 期刊论文
IEEE Transactions on Industrial Electronics, 2018
作者:  Guo, Liang;  Lei, Yaguo;  Xing, Saibo;  Yan, Tao;  Li, Naipeng
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
Machinery health prognostics: A systematic review from data acquisition to RUL prediction 期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 卷号: 104, 页码: 799-834
作者:  Lei, Yaguo;  Li, Naipeng;  Guo, Liang;  Li, Ningbo;  Yan, Tao
收藏  |  浏览/下载:12/0  |  提交时间:2019/11/26
Machinery health indicator construction based on convolutional neural networks considering trend burr 期刊论文
NEUROCOMPUTING, 2018, 卷号: 292, 页码: 142-150
作者:  Guo, Liang;  Lei, Yaguo;  Li, Naipeng;  Yan, Tao;  Li, Ningbo
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/26


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