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 will give delegates an opportunity 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 industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO205: Wind Turbine Generator Slip Ring Brush Health Monitoring Using Physics-based Model
Clément Jacquet, Engineer/Scientist III, EPRI
Abstract
Slip ring brush wear is often referred to as the major maintenance issue for doubly fed induction generator (DIFG) wind turbines. Though the associated material and labor costs are minor, brush replacement is the most frequent maintenance operation for DFIG. Moreover, failing to replace the brush on time can have catastrophic consequences for the wind turbine. On the other hand, replacing the brush too prematurely leads to excessive cost of material and unnecessary turbine downtime. To assist the turbine operator in correctly timing the replacement of brushes, EPRI, in collaboration with ENEL, has developed a physics-based model for monitoring brush wear accumulation for wind turbines in operation. The model is based on tribological principles and leverages readily available data from the wind plant supervisory control and data acquisition (SCADA). This physics-based model allows regular updating of the slip ring brush wear accumulation for turbines in operation and thus offer an efficient approach to monitor generator health and improves operational efficiency and turbine safety.
No recording available for this poster.
