Drive-train Third Stage-based Simplified Dynamic Modeling of a Wind Turbine Oriented to Vibration Analysis

Deiver Jiménez Santín, Mariela Cerrada, Josué Enríquez Zárate, Diego Cabrera, René Vinicio Sánchez

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Nowadays, many global efforts have been devoted to developing renewable energy sources to mitigate the climate impact of the conventional fossil-based energies. The use of wind energy has increased in recent years, and also the necessity of proposing effective maintenance for such devices. With the aim of understanding the dynamic behavior and vibrational characteristics of the drive-train in wind turbines, to help the condition-based fault analysis, the proposal of useful dynamical models is well received by the maintenance community for research and educational purposes. In this paper, a simple yet realistic mathematical model to analyze the dynamic behavior of the drive-train of a wind turbine is presented. The model focuses the analysis on the third stage of the gearbox-based multiplier by taking into account diverse physical phenomenons as the vibration sources, including time-varying mesh stiffness, time-varying viscous damping, transmission error, and backlash. Dynamic analysis was carried out to investigate the behavior of the system under a torque obtained from a convincing wind speed.

Idioma originalInglés
Título de la publicación alojadaECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
EditoresDavid Rivas Lalaleo, Manuel Ignacio Ayala Chauvin
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350338232
DOI
EstadoPublicada - 2023
Evento7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador
Duración: 10 oct. 202313 oct. 2023

Serie de la publicación

NombreECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting

Conferencia

Conferencia7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
País/TerritorioEcuador
CiudadAmbato
Período10/10/2313/10/23

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© 2023 IEEE.

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