Determination of the Ship Engine Room Pipeline Failure Risk Rating with Fuzzy-Bayesian Network

Abstract e systems on the ship have various uids in terms of theirphysical and chemical properties. e transfer and storageof these uids are carried out with the help of pipelinesystems. Although maintenance is carried out periodicallya er the rst installation, it is impossible to see what ishappening inside the pipe systems. For this reason, therisk levels of these systems should be analyzed so as not tobe faced with hidden hazardous situations that may arisesuddenly. Although the design of the ship system is withinthe framework of the rules and regulations, practicalknowledge is required in the operational process. eseexperienced data can be easily obtained from the personnelwho worked on the ships, which means that they can directlyreach the source.In this study, fuzzy logic is used in the data collectionprocess, and the Bayesian network structure is organizedto analyze the hazard probability of pipeline failures.Vibration, maintenance breakdowns, and improperhandling of pipelines are the leading causes of pipelinefailure. e importance of these is obtained from theresult values given by the modeled Bayesian Network. is research includes the root causes that trigger pipelinefailures, and these reasons have been assessed in terms oftheir level of impact.