Home | Programme overview | All oral presenters | Poster presentations | Press coverage | Event videos | Event photos

Back

-

 

Online non-intrusive condition monitoring and fault prognosis for wind turbines

Raed Ibrahim Loughborough University, United Kingdom ONLINE NON-INTRUSIVE CONDITION MONITORING AND FAULT PROGNOSIS FOR WIND TURBINES Abstract ID: 277  Poster code: PO.048 | Download poster: PDF file (0.69 MB) | Download full paper: PDF (6.35 MB)

Presenter's biography

Biographies are supplied directly by presenters at WindEurope 2016 and are published here unedited

Mr. Raed has been working in Power System Industry including protection, control and monitoring system for 5 years. He is currently a PhD student at the Centre for Renewable Energy Systems Technology (CREST), Loughborough University, UK. He received the B.Sc. degree in electronics and electrical engineering from the University of Tikrit, Iraq, in 2009, and the M.Sc. degree in electrical power engineering from the University of Mosul, Iraq, in 2011. His research is focused on the development of wind turbine electrical and mechanical fault detection algorithms by using advanced signal processing and machine learning.

Abstract

View abstract