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A dynamic human reliability model for marine and offshore operations in harsh environments

机译:用于恶劣环境下的海洋和海上作业的动态人员可靠性模型

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摘要

Human activities, including design, construction, operation, management and maintenance are all a predominant part of the daily tasks in offshore operations. It is not surprising to observe major failures are related to human error, since humans are susceptible to making mistakes. Due to the high level of uncertainty in human activities, predicting all causes of human errors is not an easy process. This may lead to inaccurate results which may affect the overall safety and reliability of marine operations. Evaluation of human endurance during activity on board is a key factor in minimizing risk of human failure. This study aims to examine uncertainties over the time of the marine operation to estimate accurate human reliability assessment. A framework is developed to model the uncertainty of human performance factors by considering a hydrodynamic analysis of the structure along with a subjective analysis of human activities under different weather conditions. Subsequently, a model based on Dynamic Bayesian approach is developed to evaluate the time duration effect on human performance throughout the operation. The developed methodology has been applied to a case study of an offshore vessel storing extracted oil. The framework demonstrates that probability of human failure increases towards the end of its operational days, however the high variation in human reliability is greatly dependent on weather conditions. The present study is able to improve the safety of human life in marine operations by predicting the reliability of performances as a function of time during a specific operation.
机译:人为活动,包括设计,建造,操作,管理和维护,都是海上作业日常工作的主要部分。观察到重大故障与人为错误有关并不奇怪,因为人很容易犯错误。由于人类活动的不确定性很高,因此预测人为错误的所有原因并非易事。这可能会导致结果不准确,从而可能影响海上作业的总体安全性和可靠性。在船上活动期间评估人的耐力是最大程度地降低人为失败的风险的关键因素。这项研究旨在检查海上作业期间的不确定性,以估算准确的人员可靠性评估。通过考虑对结构的水动力分析以及在不同天气条件下对人类活动的主观分析,开发了一个框架来模拟人类绩效因素的不确定性。随后,开发了基于动态贝叶斯方法的模型,以评估持续时间对整个手术过程中对人类绩效的影响。所开发的方法已应用于存储提取油的海上船舶的案例研究。该框架表明,在工作日结束时,人为失误的可能性会增加,但是人为可靠性的高度变化很大程度上取决于天气状况。本研究能够通过预测特定操作期间性能随时间变化的可靠性来提高海上操作人员的生命安全。

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