Effects of Uncertain Parameters on the Dynamic Response of a Wind Turbine Gearbox

Producing reliable gear systems for wind turbines involves accounting for multiple uncertain parameters. To ensure operational vibrations remain controlled, it is essential to analyze the system’s sensitivity to these uncertainties. This study investigates the dynamic response of a two-stage wind turbine gear system, considering variations in many system variables. The goal is to evaluate the system’s reliability through bearing displacement analysis. A 12-DOF concentrated-parameter model is proposed to account for uncertainties in gear mass, damping, and the inertias of the pinion, gear, and input shaft. The dynamic response is examined using the Polynomial Chaos (PC) method across different orders and standard deviations, with results validated through the Monte Carlo (MC) method using 100,000 samples.

Authors

Institutions

Publication Details

Journal
Machines
Published
2026-06-30
DOI
https://doi.org/10.3390/machines14070740
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Uncertain Parameters on the Dynamic Response of a Wind Turbine Gearbox

Abdelghani Saouab, Abdelkhalak El Hami, Ahmed Guerine, Bilel Karmi et al.
Machines
Gear and Bearing Dynamics Analysis
article

Effects of Uncertain Parameters on the Dynamic Response of a Wind Turbine Gearbox

Abdelghani Saouab, Abdelkhalak El Hami, Ahmed Guerine, Bilel Karmi, Slim Bouaziz, Mohamed Haddar
article en

Abstract

Producing reliable gear systems for wind turbines involves accounting for multiple uncertain parameters. To ensure operational vibrations remain controlled, it is essential to analyze the system’s sensitivity to these uncertainties. This study investigates the dynamic response of a two-stage wind turbine gear system, considering variations in many system variables. The goal is to evaluate the system’s reliability through bearing displacement analysis. A 12-DOF concentrated-parameter model is proposed to account for uncertainties in gear mass, damping, and the inertias of the pinion, gear, and input shaft. The dynamic response is examined using the Polynomial Chaos (PC) method across different orders and standard deviations, with results validated through the Monte Carlo (MC) method using 100,000 samples.

MachinesVol. 14(7)
Centre National de la Recherche Scientifique (FR), Université Le Havre Normandie (FR), University of Sfax (TN), Normandie Université (FR), Université de Rouen Normandie (FR), Université Savoie Mont Blanc (FR), Institut National des Sciences Appliquées Rouen Normandie (FR)
Affordable and clean energy
Openalex Percentile: Top 13%
Gear and Bearing Dynamics Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.