LSTM-Based Multi-Task Method for Remaining Useful Life Prediction under Corrupted Sensor Data
Data-driven remaining useful life (RUL) prediction plays a vital role in modern industries. However, unpredictable corruption may occur in the collected sensor data due to various disturbances in the real industrial conditions. To achieve better RUL prediction performance under this situation, we pr...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2023-03-01
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| Reeks: | Machines |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2075-1702/11/3/341 |
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