Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network

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Abstrakt

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.
OriginalsprogEngelsk
Artikelnummer5108
TidsskriftEnergies
Vol/bind13
Udgave nummer19
Sider (fra-til)5108-5128
ISSN1996-1073
DOI
StatusUdgivet - 1 okt. 2020

Emneord

  • Availability
  • Bayesian Network
  • Energy transfer subsystem
  • Fault tree
  • Mapping algorithm
  • Marine energy conversion systems

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