Simulated Aalto Gear Failure Dataset 3012Hz

Published: 6 September 2026| Version 1 | DOI: 10.17632/9pzk4tsn36.1
Contributors:
Milla Vehviläinen,
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Description

The Simulated Aalto Gear Failure Dataset (SAGFD) contains simulated torsional vibration data from a downscaled azimuth thruster drivetrain corresponding to the experimental Aalto Gear Failure Dataset (AGFD). The data were generated using a multibody simulation (MBS) model implemented in Simpack, with the lower bevel gear contact represented using the geometry-based polygonal contact method (PCM). The dataset comprises 216 simulation cases combining six drive motor speeds (250–1500 RPM), four torque loads (0.12–1.90 Nm), and nine pinion health configurations representing healthy operation, tooth flank fracture, pitting, and wear at multiple severity levels. Each CSV file contains 20s of steady-state data sampled at 3012 Hz, including torque, angular position, and rotational speed signals. The dataset is intended for condition monitoring, fault diagnosis, predictive maintenance, signal processing, machine learning, and simulation-to-reality studies.

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Categories

Mechanics, Gear, Defect Simulation, Dynamic Simulation, Powertrain, Multibody Simulation, Torsional Behavior

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