Open AccessAI Supported Maintenance and Reliability System in Wind Energy Production
Author(s) -
Chetan M Wali,
S Darshan,
Deesha D Shenoy,
Deltus Baselios Paul,
Madhusudhan S
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2902
Subject(s) - wind power , renewable energy , environmental science , fossil fuel , electricity generation , electricity , production (economics) , sophistication , reliability (semiconductor) , meteorology , engineering , power (physics) , electrical engineering , waste management , economics , geography , social science , physics , quantum mechanics , sociology , macroeconomics
Now a days the technology is advancing at an unbelievable rate. To the point many of us aren’t able to efficiently keep up. With the ever- increasing sophistication of Artificial Intelligence [AI]. The environmental impact of the wind power is relatively minor when we compared to that of the fossil fuel power. When Compared to other low carbon sources, wind turbines have one of the lowest global warming potentials per unit of electricity energy generated per power sources. Among the renewable energy arts wind energy plays a significant role and, as forecasted its ratio within the total energy production will rapidly increase. Wind turbines are relatively complex electro-mechanical systems, their smooth functioning is an important economical factor. This is why the monitoring and diagnosis of wind turbines and wind farms gained extreme importance in the past years.