A dual-stream deep learning framework for lift condition monitoring based on time and frequency domain information
This research addresses lift condition monitoring, crucial for ensuring safety and performance. Traditional methods struggle with scalability, especially when dealing with small data volumes or potential fault detection. To overcome this, we propose a deep learning-based approach that integrates tim...
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| Format: | Thesis-Master by Research |
| Langue: | English |
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Nanyang Technological University
2024
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| Accès en ligne: | https://hdl.handle.net/10356/181860 |