Lecture Synopsis
During the lifetime of a mechanical component, micro-structural changes emerge at material level and evolve through time. Such degradations, which might be revealed as changes in some physical trends during time in service, are called “damage precursors”. It is crucial to detect damage at earliest possible time before they lead to system failure.
In this talk, a novel structural health monitoring (SHM) framework is presented relying on combination of both damage precursor indicators as well as a direct damage indicator in order to establish a robust prediction technique for estimating Remaining Useful Life (RUL).
Background
Associate Professor Enrique López Droguett joined the University of Maryland, College Park, in 2014. He conducts research on methods for probabilistic risk analysis and reliability of systems, uncertainty analysis, Bayesian methods, maintenance optimization, and ecological and biological risk assessment. He has led many major studies on risk and reliability of complex systems such as oil and gas exploration and production, oil refineries, commercial aviation, and hydropower plants. He has over 120 papers in refereed journals and proceedings of conferences and two books in various areas of risk, reliability engineering and maintenance.