Probabilistic Modelling of Oil Film thickness in Journal Bearing Shafts
A Bayesian Approach for Shaft Centre Localisation in Journal Bearings
Ultrasonic techniques work well for online measuring of circumferential oil film thickness profile in journal bearings ; unfortunately, they can be limited by their measuring range and unable to capture details of the film all around the bearing circumference.Attempts to model the film thickness over the full range of the bearing rely on deterministic approaches, which assume the observations to be true with absolute certainty.Unaccounted uncertainties of the film thickness may lead to a cascade of inaccurate predictions for subsequent calculations of hydrodynamic parameters.In the present work, a probabilistic framework is proposed to model the film thickness with gaussian processeses.The results are then used to estimate the location of the bearing shaft under various operational conditions.
