DİNLE

SEMINAR: Vibration Based Robust Structural Health Monitoring (SHM)...11-01-2021

Speaker:  Spilios Fassois

Title: Vibration Based Robust Structural Health Monitoring (SHM) Under Varying Operating Conditions & Uncertainty: Principles & Advances

Date/Time: 13 January 2021/ 13:30 - 14:30 

Zoom: Meeting ID:  -https://sabanciuniv.zoom.us/webinar/register/WN_uhVybqgyTAaG8x1gZE4xsw

Passcode: Registration is required

Abstract:The presentation focuses on the main ideas, concepts, and principles of vibration based Structural Health Monitoring (SHM) from a user perspective. The emphasis is on Data-Based (Machine Learning) type methods and Robustness to varying Operating Conditions (OCs) and Uncertainty; with the latter constituting a widely acknowledged technology barrier. The prime families of robust methods and algorithms are schematized, with their performance being exemplified via a benchmark study pertaining to damage detection for a population of composite aerostructure coupons. Further advances on the feasibility of damage precise localization are also presented. Two application case studies are demonstrated, with the achievable performance reliably recorded on Receiver Operating Characteristic (ROC) curves indicating the Probability of Detection versus Probability of False Alarm. The presentation concludes with a summary of the main points and an outlook.

Bio:  Professor S.D. Fassois (Diploma 1982 National Technical University of Athens, Greece; M.Sc. 1984 & Ph.D. 1986 University of Wisconsin-Madison, USA) is the Director of the Stochastic Mechanical Systems & Automation Laboratory at the Department of Mechanical Engineering and Aeronautics of the University of Patras, Greece. He has also served on the faculty of the University of Michigan - Ann Arbor, USA (1986-1993). His research interests are on stochastic mechanical and aero systems, system identification-diagnosis-prediction-control, random vibration analysis and vibration-based Structural Health Monitoring (SHM), Statistical Time Series Analysis, Machine Learning (ML), with applications on structures, vehicles, aircraft and industrial systems. He has been honored by international awards and distinctions, has authored chapters in international technical encyclopedias, and organized/taught Short Courses in Europe and North America. He has authored over 290 articles (several invited) in international technical journals, books, and Conference Proceedings, and has presented several keynote presentations. His research has been supported by national and international bodies, including the European Commission and the private sector. He has been Associate Editor for Mechanical Systems and Signal Processing (MSSP), as well as Associate Editor and/or Editorial Board member for additional prestigious technical journals. He has also organized 4 Special Thematic Issues for highly ranked technical journals and participates in the Scientific Committee of numerous international technical conferences