多转子
无人机
故障检测与隔离
执行机构
计算机科学
断层(地质)
人工智能
航空学
航空航天工程
工程类
地质学
地震学
生物
遗传学
作者
Alessandro Baldini,D'Alleva Lorenzo,Riccardo Felicetti,Francesco Ferracuti,Alessandro Freddi,Andrea Monteriù
出处
期刊:CERN European Organization for Nuclear Research - Zenodo
日期:2023-02-26
标识
DOI:10.5281/zenodo.7648995
摘要
This dataset collects real flight data from a hexarotor under the effects of a chipped blade. A conventional ArduPilot based controller is employed, where the ArduPilot firmware is customized to increase the signal logging rate of the IMU variables, thus capturing enough information at higher frequencies. Additional variables are available, including on-board measurements, commands, estimations, and parameters; in particular, the actual speed of each motor is measured as well. The purpose of the UAV-FD dataset is to accelerate the research on actuator fault diagnosis for multirotor vehicles.
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