Vibration Monitoring of Wind Turbines: Predicting the Remaining Useful Life
A special issue of Applied Mechanics (ISSN 2673-3161).
Deadline for manuscript submissions: 30 June 2025 | Viewed by 157
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on using vibration analysis to assess the health of wind turbines and forecast their operational lifespan. Wind turbines operate under non-stationary dynamic conditions, which cause components like blades, bearings, and gearboxes to degrade over time. Through sensors placed on key components, vibration monitoring detects early signs of wear, component degradation, fatigue, and blade failures.
This Special Issue includes papers on signal analysis and artificial intelligence applied to vibration signals, their correlation with failure modes, and methods for predicting the remaining life of mechanical and electrical components. It also welcomes papers on integrating predictive and proactive maintenance strategies applied to wind turbines based on vibration data to reduce downtime and improve overall performance.
Publishing these findings is essential for the broader wind energy industry, as it supports the development of robust, data-driven maintenance frameworks. These papers will also contribute to optimizing wind farm operations, reducing the levelized cost of energy (LCOE), and improving the sustainability of renewable energy systems.
Prof. Dr. Juan carlos Jauregui
Guest Editor
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Keywords
- wind turbines
- vibrations
- conditioning monitoring
- life prediction
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