Anomaly detection in quadcopter flight: Harnessing frequency domain analysis and barnacle mating optimization
Ensuring the safety and efficiency of unmanned aerial vehicles (UAVs) requires effective fault detection and identification (FDI). Traditional multi-stage FDI methods, particularly those using residual detection layers, increase complexity and computational cost, limiting real-time applications. Thi...
| Main Authors: | Mohd Sharif, Zakaria, Mohammad Fadhil, Abas, Norhafidzah, Mohd Saad, Mohd Herwan, Sulaiman, Dwi, Pebrianti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IAES
2025
|
| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45310/ |
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