Data Driven Probabilistic Modelling of Engine Vibration

Carsten Buchholz and Maren Fanter (Rolls Royce)

Abstract:

There is a need for probabilistic modelling in many engineering applications.  In this session a use case for rotating machinery is discussed. An approach of generating and evaluating datasets of measured parameters augmented with results from engineering simulation is presented.