A data-driven fault detection and diagnosis method via just-in-time learning for unmanned ground vehicles
Fault detection and diagnosis technologies for unmanned ground vehicles are important for ensuring safety and reliability. Due to the complexity and uncertainty of unmanned ground vehicles, it is challenging to realize accurate and fast fault detection and diagnosis. For the purpose of solving the d...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-04-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2022.2142924 |