| {
|
| "dataset_name": "ZeroTwin-UAV-Synthetic",
|
| "version": "1.0.0",
|
| "n_nodes": 5,
|
| "samples_per_node": 5000,
|
| "total_samples": 25000,
|
| "sampling_rate_hz": 10.0,
|
| "duration_minutes_per_node": 8.333333333333334,
|
| "sensors": [
|
| "vibration_g",
|
| "temperature_c",
|
| "voltage_v",
|
| "acoustic_db"
|
| ],
|
| "fault_classes": {
|
| "0": "normal",
|
| "1": "rotor_imbalance",
|
| "2": "esc_thermal",
|
| "3": "bearing_wear",
|
| "4": "battery_sag"
|
| },
|
| "physics_models": {
|
| "rotor_imbalance": "Harmonic amplitude growth A(t) = A0(1 + alpha*t)",
|
| "esc_thermal": "RC thermal model T(t) = T_amb + (T_ss - T_amb)(1 - exp(-t/tau))",
|
| "bearing_wear": "BPFO high-frequency defect + friction heating",
|
| "battery_sag": "Exponential OCV decay + linear R_int growth"
|
| },
|
| "license": "CC-BY-4.0",
|
| "citation": "Bello et al., ZeroTwin: DAG-Federated PHM for UAV Swarms, 2027"
|
| } |
