Abstract: A method for solving the gas path analysis problem of jet engine diagnostics based on a probabilistic approach is presented. The method is materialized through the use of a Bayesian Belief ...

Abstract: A method is proposed to support least square type of methods for deriving health parameters from a small number of independent gas path measurements. The method derives statistical information ...

Abstract: A diagnostic method consisting of a combination of Kalman filters and Bayesian Belief Network (BBN) is presented. A soft-constrained Kalman filter uses a priori information derived by a BBN at ...