8th European Workshop On Structural Health Monitoring (EWSHM 2016)
5-8 July 2016, Spain, Bilbao
Right Now in Bilbao 22:51 Thu 21
11:40 Wednesday 6. Jul - B1
Efficient neuro-fuzzy damage severity estimation in an experimental wind turbine blade using the Fukunaga-Koontz transform of vibration signal correlations
AuthorsHoell, Simon*Hoell, Simon*
Simon received his B.Sc. and M.Sc. in civil engineering from the Bauhaus-University Weimar, Germany in 2009 and 2012, respectively. During his Master studies, he got firstly in touch with problems of dynamic testing and structural health monitoring (SHM). He later stayed in Germany as research assistant at the Institute of Structural Mechanics, Weimar. The conducted research project involved advanced numerical simulations as well as the design and installation of monitoring systems for SHM. In 2013, Simon joined the University of Aberdeen’s Lloyd’s Register Foundation Centre for Safety and Reliability Engineering as PhD student. His current work combines time series analysis and machine learning for the application in SHM systems of structural components of wind turbines.
University of Aberdeen
LRF Centre for Safety and Reliability Engineering
United KingdomOmenzetter, PiotrOmenzetter, Piotr
Piotr graduated with a ME from Technical University of Gdansk, Poland. He then obtained his PhD from The University of Tokyo, Japan for a study on aerodynamics of long span bridges. Piotr later stayed on in Asia working as a postdoctoral researcher at The University of Tokyo and Nanyang Technological University, Singapore. It was then that he developed strong interest in the area of dynamic testing and structural health monitoring which remain the main thrusts of his research activities. In 2003, he became a lecturer at The University of Auckland, New Zealand, and in 2013 moved to The University of Aberdeen’s Lloyd’s Register Foundation Centre for Safety and Reliability Engineering.
The University of Aberdeen
AB24 3UE Aberdeen
Thu 7. 09:30, A4
Session: COST Action 1402. Health monitoring and structural performance assessment
Title: Quantifying the value of seismic monitoring for the building owner