Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network

Yi Yang and John Dalsgaard Sørensen
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Yi Yang: Department of The Built Environment, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg Øst, Denmark
John Dalsgaard Sørensen: Department of The Built Environment, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg Øst, Denmark

Energies, 2020, vol. 13, issue 19, 1-27

Abstract: This research work proposes a novel approach to estimate probabilities of availability states of the energy transfer network in marine energy conversion subsystems, using Bayesian Networks (BNs). The logical interrelationships between units at different level in this network can be understood through qualitative system analysis, which then can be modeled by the fault tree (FT). The FT can be mapped to a corresponding BN, and the condition probabilities of nodes can be determined based on the logic structure. A case study was performed to demonstrate how the mapping is implemented, and the probabilities of availability states were estimated. The results give the probability of each availability state as a function of time, which serves as a basis for choosing the optimal design solution.

Keywords: energy transfer subsystem; marine energy conversion systems; availability; Bayesian Network; fault tree; mapping algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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