Intelligent fault diagnosis for multi-rotor unmanned aerial vehicles using extreme learning neuro-fuzzy systems
Multi-rotor unmanned aerial vehicles (UAVs) have grown popular due to their versatility in applications such as videography, surveillance, and cargo transport. Despite their utility, these UAVs like many mechanical systems, are susceptible to component degradation. Particularly, faults in critical c...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175942 |