Dynamic Risk and Reliability Assessment of Ship Machinery and Equipment

摘要

The proposed research aims to tackle the issue of predictive shipmachinery inspection by enhancing reliability and safety, avoidingaccidents, and protecting the environment. This paper presents thedevelopment of Machinery Risk/Reliability Analysis (MRA). Theinnovation of this model is the consideration of components’ failureand degradation utilizing raw recorded data. MRA takes into accountthe system’s dynamic state change, concerning failure rate variationover time. The presented methodology involves the generation ofMarkov Chain arrangement integrated with the advantages of BayesianBelief Networks (BBNs). Following research involves components andsystems interdependencies and feed the continuous dynamicprobabilistic condition monitoring algorithm.