Preliminary study of actuator fault detection for RUAVs using neuro-fuzzy system
With the ever-increasing use of Rotary Unmanned Aerial Vehicles (RUAVs) for various purposes, a fast and accurate fault detection system is key to detect unknown faults, to ensure fault tolerance and for safe operations. In this paper, a data-driven fault detection algorithm based on an Adaptive Neu...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/147380 |
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Institution: | Nanyang Technological University |
Language: | English |