PREDICTIVE MAINTENANCE FOR WIND TURBINES

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

Sant'Ana, B (Author) Other; Veloso, B (Author) Other; João Gama (Author) FEP

Conference proceedings International

Title: TECHNOLOGIES, MARKETS AND POLICIES: BRINGING TOGETHER ECONOMICS AND ENGINEERING

Pages: 416-421

5th International Conference on Energy and Environment - bringing together Economics and Engineering (ICEE)

Univ Porto, Sch Econ, Porto, PORTUGAL, JUN 02-03, 2022

Indexing

ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: P-00X-607

Abstract (EN): With the greater awareness of climate change, the exponential expansion in the world population's energy needs, and other factors, many countries are producing and using renewable energy sources. However, this type of energy comes with a high cost associated with operation and maintenance. The importance of predictive maintenance in this area is growing, providing valuable insights for strategic decision-making. This paper aims to detect failures in wind turbines early. In our first approach, we considered the Page-Hinkley Test with a sliding window on the different vital components' temperature as a fault detection method. The second approach involved moving averages methods for forecasting the temperature of the different components. Our results showed that both methods could detect failures at least three days before and one day after the failure occurs.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6