Unsupervised Transfer Learning for Remaining Useful Life Prediction of Elevator Brake

Unsupervised Transfer Learning for Remaining Useful Life Prediction of Elevator Brake

In order to improve the life prediction effect of elevator brake in the real working environment, an unsupervised deep transfer learning (UDTL) method based on long short-term memory encoder-decoder (LSTM-ED) was proposed. The simulation data were used to analyze the health status of brake when it w...

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Bibliographic Details
Main Author: JIANG Yudi, HU Hui, YIN Yuehong
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021-11-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
elevator brake
unsupervised deep transfer learning (udtl)
long short-term memory encoder-decoder (lstm-ed)
remaining useful life (rul)
step training
Online Access:http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-11-1408.shtml

Internet

http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-11-1408.shtml

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