Physics-guided machine learning for prognostics in rotating machinery KU Leuven
In the frames of this PhD, the candidate will work on the estimation of the remaining useful life of rotating machinery based on physics-guided machine learning approaches. A number of purely data-driven and model-based methodologies have been proposed but they both present a number of limitations. Thus the goal of this PhD is to combine the two worlds, combining merits and removing limitations. The developed methodologies will be tested, ...