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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
IAES
2025
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/45310/1/Anomaly%20detection%20in%20quadcopter%20flight-Harnessing%20frequency%20domain%20analysis.pdf http://umpir.ump.edu.my/id/eprint/45310/ https://doi.org/10.11591/eei.v14i4.9224 |
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