In this paper it is presented a brief description of a method that consists in using Bayesian Belief Network (BBN) created by converting Fault Trees (FT) to determine the most probable causes of a failure in a system given some evidence through observation. In addition, it is presented an example based on the steering gear system of a containership focusing on the cases in which the vessel is operating in restricted waters or performing the procedure for mooring/unmooring. The steering gear system was chosen due to its importance to restricted water navigation and to the mooring operation. The system must be completely available for these situations; otherwise, the ship security and the crew safety are implicated.
Reliability Analysis on the Injection System by Mapping T-S Fault Trees into Bayesian Networks
