Open AccessAI Supported Maintenance and Reliability System in Wind Energy Production
Author(s) -
H R Manjunath,
Jeevitha Naveen Suvarna,
Gowthami,
Shrihastha,
Gagan Raghavendra J
Publication year - 2021
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-2108
Subject(s) - wind power , renewable energy , environmental science , fossil fuel , electricity , electricity generation , sophistication , reliability (semiconductor) , production (economics) , energy development , meteorology , engineering , power (physics) , electrical engineering , waste management , economics , geography , social science , physics , quantum mechanics , sociology , macroeconomics
Technology is advancing at an unbelievable rate. To the point many of us are not able to efficiently keep up. With the ever-increasing sophistication of Artificial Intelligence [AI]. The environmental impact of wind power is relatively minor when compared to that of fossil fuel power. Compared with 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 monitoring and diagnosis of wind turbines and wind farms gained extreme importance in the past years.