{
  "annotation_id": "17ec43a4-7296-4188-aa43-a94cc946d012",
  "date_created": "2026-02-17T05:53:16.233000Z",
  "date_modified": "2026-02-17T05:53:16.233000Z",
  "file_hash": "4a73443b85b2fba56ab4ebfa9e1b337e38e3b90ae5af59b2a5b0444e1ff27662",
  "private": false,
  "record": {
    "abstract": "Ground Vibration Testing (GVT) supports aircraft certification but often requires lengthy and costly campaigns. Propeller-driven Vibration Testing (PVT) is assessed here as an output-only alternative, in line with Operational Modal Analysis approaches such as Taxi Vibration Testing and Flight Vibration Testing. A cantilever Aluminium 7075-T6 wing spar is instrumented with seven accelerometers and excited by an outboard electric motor and propeller. Seven runs are carried out: a motor-off baseline, five constant-throttle cases, and a manual up-down throttle sweep. The acquired spectra indicate that the dominant resonances remain observable under propeller excitation, while low-throttle conditions introduce narrowband harmonics that may mask structural peaks; the sweep reduces persistent overlap. Modal parameters are identified for the baseline and sweep cases using the Natural Excitation Technique with the Loewner Framework (NExT-LF). The first two modes remain closely matched (Modal Assurance Criterion (MAC) \u003e 0.99), whereas the third mode shows reduced repeatability (MAC = 0.827) and a larger frequency shift, consistent with propeller-induced bending--torsion coupling and non-ideal sweep control. Overall, PVT provides a viable complement to GVT for extracting low-frequency modal information and motivates pursuing future work on automated throttle scheduling and coupling-aware test planning.",
    "arxiv_id": "2601.08123",
    "authors": [
      "Gabriele Dessena",
      "Alessandro Pontillo"
    ],
    "categories": [
      "eess.SP",
      "cs.SY",
      "eess.SY"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Modal Parameter Extraction via Propeller-Driven Vibration Testing",
    "url": "https://arxiv.org/abs/2601.08123",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "529577fb-cde8-48cf-8454-94eb1015fd56",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}