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Towards building a safety case for Marine Unmanned Surface Vehicles: a Bayesian perspective

Towards building a safety case for Marine Unmanned Surface Vehicles: a Bayesian perspective
Towards building a safety case for Marine Unmanned Surface Vehicles: a Bayesian perspective
Marine Unmanned Surface Vehicles (MUSVs) are essential platforms for persistent and adaptable ocean monitoring and sampling. In order to operate these platforms in coastal areas or near oil and gas waters the MUSVs must meet statutorily and industry safety requirements. Given the novelty of these platforms, there is lack of evidence to support the claim that a given safety target can be met without any additional protection. Therefore, for safety critical operations, MUSVs require the implementation of a safety function. The development of a safety function must comply with IEC61508 safety standard, which requires a quantification of the safety integrity level. Compliance to IEC61508 is subject to subjective uncertainty. The nature of the technology in terms of mode of operation and the environment in which operates exacerbates this uncertainty. This paper presents a Bayesian belief network for formalizing the safety arguments underpinning MUSV compliance to IEC 615078 safety standard.
1-17
CRC Press / Balkema
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c

Brito, Mario (2017) Towards building a safety case for Marine Unmanned Surface Vehicles: a Bayesian perspective. In European Safety and Reliability Conference. CRC Press / Balkema. pp. 1-17 .

Record type: Conference or Workshop Item (Paper)

Abstract

Marine Unmanned Surface Vehicles (MUSVs) are essential platforms for persistent and adaptable ocean monitoring and sampling. In order to operate these platforms in coastal areas or near oil and gas waters the MUSVs must meet statutorily and industry safety requirements. Given the novelty of these platforms, there is lack of evidence to support the claim that a given safety target can be met without any additional protection. Therefore, for safety critical operations, MUSVs require the implementation of a safety function. The development of a safety function must comply with IEC61508 safety standard, which requires a quantification of the safety integrity level. Compliance to IEC61508 is subject to subjective uncertainty. The nature of the technology in terms of mode of operation and the environment in which operates exacerbates this uncertainty. This paper presents a Bayesian belief network for formalizing the safety arguments underpinning MUSV compliance to IEC 615078 safety standard.

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Published date: 10 January 2017
Venue - Dates: European Safety and Reliability Conference, Slovenia, 2017-06-18 - 2017-06-22
Related URLs:
Organisations: Centre of Excellence in Decision, Analytics & Risk Research

Identifiers

Local EPrints ID: 405078
URI: https://eprints.soton.ac.uk/id/eprint/405078
PURE UUID: 1b4eeb54-4bff-4274-b591-69a2a78ac6dd

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Date deposited: 25 Jan 2017 10:46
Last modified: 16 May 2019 16:30

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