datasheet.json

{
  "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"
}