Dynamic Bayesian networks for predicting remaining useful life of equipment

To predict Remaining Useful Life(RUL) for equipment by Dynamic Bayesian Networks(DBN),a new probabilistic methodology based on DBN was proposed.A modeling framework for prognosis was provided and the particle filtering inference algorithm was employed to predict the RUL of equipment.The proposed method was validated by tests on drill-bits,and it was proved to be effective.