RPM-ETC: A Risk Prediction Model for Elevators Based on Transformer and Self-Temporal Compression Mechanism
Elevators play an indispensable role in modern urban life. Ensuring the safe operation of elevators is crucial due to the severe consequences of malfunctions. Traditional maintenance methods are costly and may not comprehensively capture potential faults. Leveraging deep learning technologies, this...
Main Authors: | , , , , |
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格式: | 文件 |
语言: | English |
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MDPI AG
2025-01-01
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丛编: | Applied Sciences |
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在线阅读: | https://www.mdpi.com/2076-3417/15/3/1326 |