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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| Formato: | article |
| Lenguaje: | ZH |
| Publicado: |
Editorial Office of Journal of Shanghai Jiao Tong University
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/a2a1a5e4197e4338aaa2e83177871b30 |
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