Application of Fault Tree – Bayesian Network for Graving Dock Gate Failure Analysis

doi:10.7324/ijasre.2018.32576

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Fault tree diagram is constructed top-down, from the top event to each cause until Basic events are obtained [10], [11]. The step for constructing the fault tree can be started by assuming that the failure or top event has already happened and then determining the possible factors or causes which could contribute to top event occurrence [12].…”

Section: Fault Tree Analysismentioning

confidence: 99%

Risk Analysis of Equipment Loss During Marine Survey Operation by Integrating Fault Tree to Bayesian Network

Waskito,

Muhtadi,

Prasetyo

et al. 2024

IJOCE

View full text Add to dashboard Cite

The process of deploying and towing the survey equipment for several marine survey activities is essential since it visualises the seabed and improves data accuracy. Since the equipment is deployed to an underwater level, the risk arises with the deployment. These risks include potential contact with submerged objects and the seabed, which can result in the loss of equipment and have detrimental environmental consequences. This study aims to analyse the risk-associated factors related to the loss of survey equipment using Fault Tree Analysis (FTA) and Bayesian Network (BN). The constructed FTA was converted into BN to find the relationship between Basic events and simulate the probability of updating Basic events. The sensitivity analysis results of the BN model indicate that "Procedure Failure" is the Basic contributor to the loss of survey equipment. The findings from this study will have practical implications for stakeholders, enabling them to enhance the safety of marine survey activities, particularly by mitigating the occurrence of equipment loss during operational procedures.

show abstract

Section: Fault Tree Analysismentioning

confidence: 99%