Simulation Degradation Datasets for Health Prognosis of a Control Moment Gyroscope's Flywheel system

This presents the dataset used for health prognosis of Control Moment Gyroscope (CMG)'s flywheel system. The dataset is collected from Simulink model of a flywheel system with electrical and mechanical degradation by Beihang Automatic Test Equipment (ATE) lab. There are 3 CMGs in the dataset, 25 samples for OC1 and 5 samples for OC2 and OC3. The CMG in OC2 and OC3 works with different rotational speed and load torque with CMG of OC1. The data is formed as .mat. Here's one cycle for each CMG. The complete datasets can be download at https://rfly-openha.github.io/documents/4_resources/datasets/CMGDataset.html, as the storage limited to 10GB.
# Here's are the variables in each mat file, where i,u,w serve as the sensor data:
B: Viscous damping coefficient, increasing over time(Nm/rad/s)
i:Current of the rotor(A)
Kt:moment coefficient, decreasing over time(V/rad/s)
T:Torque of the flywheel system, fix to 3.2(N·m)
TL:Load Torque of the flywheel system(N·m)
u:Voltage of the rotor(V)
w:Rotation rate of the rotor(rad/s)
# File naming convention:
OC1,OC2,OC3 - operational condition
001,002,...,025 - samples No., each sample consists of a complete process from running to failure. Different sample starts with different initial B and kt.
1.mat,2.mat,... - cycle No., each cycle contains 5 microseconds of simulated data for 3 seconds
# simulation detail
Data is generated by Matlab 2022a in Windows 10. Solver: ODE4. Simulation step: 5μs