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!
PO011: Dynamic reliability estimation of wind turbine gearboxes using real-time operational data
Georgo Angelis, CEO, Sensing360 B.V.
Abstract
Wind turbine gearbox often fail to reach their expected lifetime of 20 years. This causes great maintenance costs and unexpected downtime. This work proposes a method to dynamically compute the gearbox's reliability based on real-time measurements of the operating conditions. This is done by introducing the concept of "used capacity", which denotes the damage endured by the gearbox during operation. It generalizes the traditional Weibull model by allowing for varying operating conditions. This results in a more accurate reliability estimate than commonly used static estimates. Furthermore, other key performance indicators such as the mission risk and the remaining useable life can be derived from the model. The approach was tested using synthetic data for a Siemens Gamesa G97 2MW Turbine as part of a research project together with National Renewable Energy Laboratory (NREL) and Siemens Gamesa. The results demonstrate realistic reliability indicators for the gearbox and its components. Using this result, one can improve maintenance strategies, optimize resource allocation, and assess risk more accurately. Moreover, the approach is adaptable to other types of rotating machinery, offering broad applications beyond wind turbines.
No recording available for this poster.
