Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement
Abstract The research study objective seeks to improve the efficiency of wind turbines using state-of-the-art techniques in the domain of ML, making wind energy the key player in fashioning a favorable future. Wind Turbine Health Monitoring (WTHM) is typically achieved through either vibration analy...
Saved in:
Main Authors: | Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-85563-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analisa Eksperimental Pengujian Turbin Angin Propeller Tiga Sudu Horizontal Axis
by: Islahuddin - Islahuddin, et al.
Published: (2021-10-01) -
A multi-faceted review of wind turbine optimization techniques: Metaheuristics and related issues
by: Hegazy Rezk, et al.
Published: (2025-03-01) -
Investigating the techniques used for improving the aerodynamic performance of Archimedes spiral wind turbines: A comprehensive review and future work avenues
by: Ahmed Essa Faisal, et al.
Published: (2025-03-01) -
Optimization of Aerodynamic Power of Three Wind Turbines in Turbulent Wind Farm
by: Kang CHEN, et al.
Published: (2025-01-01) -
A coordination control between energy storage based DVR and wind turbine for continuous fault ride‐through
by: Xunjun Chen, et al.
Published: (2024-10-01)