A novel Real-Time Continuous Fuzzy Fault Tree Analysis (RC-FFTA) model for dynamic environment

Yunus Emre Senol, Bekir Sahin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

The purpose of this study is to provide a real-time continuous fuzzy fault tree analysis model for dynamic environment to prevent undesired events in the complex, vague, complicated, and uncertain systems. In fault tree analysis methods, occurrence probability of an undesired event (i.e. marine accidents) is computed by using statistical, extrapolation, and expert judgement methods. In the proposed method, instant data is received by sensors, run through the algorithms, and the probabilities of risk occurrence are computed continuously. Real-time sensor systems (Automatic radar plotting aid radar, bridge navigational watch alarm system, etc.) of a ship are used to validate this model by analysing the fault trees of collision and grounding. The tests prove that this model is successful for handling the trade-offs and providing continuous improvement.

Original languageEnglish
Pages (from-to)70-81
Number of pages12
JournalOcean Engineering
Volume127
DOIs
Publication statusPublished - 15 Nov 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Ltd

Keywords

  • Collision
  • Grounding
  • Real-Time Continuous FFTA
  • Safety
  • Sensor systems

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