Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics and provide an opportunity for delegates to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please, join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO004: Artificial intelligence for the prediction of failures in wind turbines
Rita Burnay, Director Consulting Expert - Energy & Utilities, Renewables, CGI
Abstract
The severe effects of climate change are raising awareness and concern about global environmental issues. In response, energy distribution companies are demanding a shift to renewable energy sources, such as wind. Wind turbines, however, are vulnerable to several external factors that cause mechanical failure. Repair is expensive and leads to downtime in energy production, significantly reducing the renewable energy transmitted to the electrical grid. Analysis reveals that implementing a prediction and monitoring system that detects and anticipates failures on wind assets has four clear advantages: 1. Reduces the number of overall failures 2. Lowers maintenance costs 3. Improves the longevity of components 4. Increases long-term profit from energy production We will explain how machine learning models can reliably predict common wind turbine technology faults before they lead to mechanical failure. This study used a year of data and 11 fault scopes collected across several wind turbine parks and multiple generator manufacturers.
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