Proceedings of the International Seminar on Safety and Security of Autonomous Vessels (ISSAV) and European STAMP Workshop and C 2020
DOI: 10.2478/9788395669606-013
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Development of functional safety requirements for DP-driven servicing of wind turbines

Abstract: The adage "prevention is better than cure" is at the heart of safety principles. However, effective accident prevention is challenging in complex, highly automated systems such as modern DP-driven vessels, which are supposed to safely transfer technicians in often unfavourable environmental conditions. FMEA analysis, which is required for DP-driven vessels, is helpful to build-in a necessary level of redundancy and thereby mitigate consequences of failures, but not particularly helpful to inform preventive mea… Show more

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Cited by 2 publications
(6 citation statements)
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“…The CASA method incorporates a wider system context, considers the software failures, thus addressing the CPSs software-intensive character of CPSs, and incorporates the system temporal behaviour in the Fault Tree thanks to the inclusion of the ESI approach. The incorporation of the system temporal aspects is an advantage compared to other studies using FMEA [29], FTA [30,31], Bayesian Networks [32], and STPA [34][35][36][37][38].…”
Section: Discussion On the Methodsmentioning
confidence: 99%
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“…The CASA method incorporates a wider system context, considers the software failures, thus addressing the CPSs software-intensive character of CPSs, and incorporates the system temporal behaviour in the Fault Tree thanks to the inclusion of the ESI approach. The incorporation of the system temporal aspects is an advantage compared to other studies using FMEA [29], FTA [30,31], Bayesian Networks [32], and STPA [34][35][36][37][38].…”
Section: Discussion On the Methodsmentioning
confidence: 99%
“…The importance metrics estimation is an advantage compared to Petri Nets based approaches [20,27,28]. As it was demonstrated, in the CASA method, a more detailed system safety model was developed than STPA based ranking approaches [34][35][36][37], which supports more accurate criticality/importance analysis.…”
Section: Discussion On the Methodsmentioning
confidence: 99%
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“…The BN is modelled based on the cause-effect relationship between the STPA outputs. The outputs of STPA have a causal relationship, where losses are caused by system-level hazards, system-level hazards are caused by unsafe control actions and unsafe control actions are caused by causal scenarios (Antoine, 2013;Puisa et al, 2019). Fig.…”
Section: Qualitative Risk Analysis; Modelling the Bayesian Networkmentioning
confidence: 99%