Prediction of remaining useful life based on t-SNE and LSTM for rotating machinery

被引：0
|
作者：
Ge, Yang [1 ,2 ]
Guo, Lanzhong [1 ,2 ]
Niu, Shuguang [1 ,2 ]
Dou, Yan [1 ,2 ]
机构：
[1] School of Mechanical Engineering, Changshu Institute of Technology, Changshu,215500, China
[2] Jiangsu elevator intelligent safety key construction laboratory, Changshu,215500, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2020年 / 39卷 / 07期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Long short-term memory
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页码：223 / 231
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