CAFUC1

OverView This repository hosts a high-fidelity benchmark dataset for General Aviation (GA) anomaly detection, named CAFUC1 Dataset. It comprises approximately hundreds of thousands multivariate time-series data points derived from 120 real flight sorties collected by the Civil Aviation Flight University of China (CAFUC).This dataset covers four different flight training subjects: ”Eight“ Turn Circle Rentange TearDrop The dataset is designed to support research in aviation safety. Dataset Content & Structure The data is stored in standard .csv format with a 1 Hz sampling rate. The root directory is CAFUC1/, organized as follows: CAFUC1/ ├── CircleDatasets/ # Data source: Cessna SR20 aircraft └── EightTurnDatasets/ # Data source: Cessna SR20 aircraft├── RectangeDatasets/ # Data source: Cessna 172R aircraft └── data/ # CSV type data └── picture/ # Rectange Flight Trajectory Picture └── TeardropDatasets/ # Data source: Cessna SR20 aircraft Key Variables Each CSV file contains multivariate time-series data, including: Kinematic: Latitude, Longitude, Altitude, Vertical Speed, Pitch, Roll, Normal Acceleration. Navigation: Heading (HDG), Track (TRK). Engine: RPM, Fuel Flow, Oil Temperature, Cylinder Head Temperature (CHT), Exhaust Gas Temperature (EGT). Access & License License: CC BY 4.0 International. Citation: If you use this dataset, please cite the associated Data Descriptor published in Scientific Data (DOI will be updated upon publication).