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dc.contributor.authorThieme, Christoph Alexander
dc.contributor.authorUtne, Ingrid Bouwer
dc.contributor.authorSchjølberg, Ingrid
dc.date.accessioned2017-05-23T07:27:43Z
dc.date.available2017-05-23T07:27:43Z
dc.date.created2015-11-03T09:14:01Z
dc.date.issued2015
dc.identifier.citationSafety and Reliability of Complex Engineered Systems – Podofi llini et al. (Eds) © 2015 Taylor & Francis Group, London, ISBN 978-1-138-02879-1nb_NO
dc.identifier.isbn9781138028791
dc.identifier.urihttp://hdl.handle.net/11250/2443221
dc.description.abstractAutonomous Underwater Vehicles (AUVs) are used in scientific, commercial and military organizations to conduct surveys and follow a preprogrammed mission path through the oceans. If a fault or an unexpected deviation from the mission plan should occur, which the autonomous capability of the AUV does not discover as a fault, the operators have to detect these instead and act appropriately. This paper presents a Bayesian Belief Network to assess the probability of monitoring success of an AUV mission. Some of the influences that are incorporated in the model are; Trust in the System, Automation Etiquette, Additional Workload, Time Delay and Loss of Status Messages. It is believed that the model can help improve AUV operations by clarifying relationships between technical, human and organizational factors and their influence on mission risk.nb_NO
dc.language.isoengnb_NO
dc.publisherCRC Press - Taylor & Francis Groupnb_NO
dc.relation.ispartofSafety and Reliability of Complex Engineered Systems
dc.titleRisk modeling of autonomous underwater vehicle operation focusing on the human operatornb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersion
dc.source.pagenumber3653-3660nb_NO
dc.identifier.cristin1285716
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcodehis is an Accepted Manuscript of an article published by Taylor & Francis Group in Safety and Reliability of Complex Engineered Systems – Podofi llini et al. (Eds) September 3, 2015 by CRC Press, available online:http://www.crcnetbase.com/doi/pdf/10.1201/b19094-480nb_NO
cristin.unitcode194,64,20,0
cristin.unitnameInstitutt for marin teknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1


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