Jürgen Herp, PhD
Assistant Professor, Maersk Mc-Kinney Moeller Institute, University of Southern Denmark
BiographyJürgen Herp eceived the B.S. and M.S. degree in physics from Aarhus University, institute of physics, Denmark, in 2011 and 2013 respectively, and a Ph.D. degree in engineering science in the topic of fault detection and prediction in wind turbines from the University of Southern Denmark in the Applied Statistical Processing Group at the Maersk Mc-Kinney Moller institute in 2017. Since September 2017, he has been employed as assistant professor. His research interest currently focuses on fault tracking and prediction in wind turbines, facilitated in a machine learning and statistical framework.
- Drivetrain monitoring: beyond SCADA
A novel probabilistic long-term fault prediction framework beyond SCADA