Cristin-resultat-ID: 1323699
Sist endret: 31. mai 2017, 08:59
Resultat
Vitenskapelig artikkel
2015

Autonomous Job Analysis: A Method for Design of Autonomous Marine Operations

Bidragsytere:
  • Esten Ingar Grøtli
  • Marialena Vagia
  • Sigurd Aksnes Fjerdingen
  • Magnus Christian Bjerkeng
  • Aksel Andreas Transeth
  • Eirik Svendsen
  • mfl.

Tidsskrift

OCEANS
ISSN 0197-7385
NVI-nivå 0

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2015
Open Access

Beskrivelse Beskrivelse

Tittel

Autonomous Job Analysis: A Method for Design of Autonomous Marine Operations

Sammendrag

Increased use of autonomy is considered crucial for continued growth in maritime industries like oil- and gas, waterborne transport, and fisheries- and aquaculture. This article presents a method called Autonomous Job Analysis (AJA), which purpose is to guide the design of autonomous marine operations. AJA breaks down the operation, and focuses on autonomy early in the design phase. The method uses elements from Hierarchical Task Analysis (HTA), and the execution of the analysis is influenced by HAZard and OPerability (HAZOP) studies. The proposed method is illustrated through application on two different case studies: Inspection of mooring lines in a sea-based fish-farm, and imaging of plume extension caused by discharge from a waste water plant.

Bidragsytere

Aktiv cristin-person

Esten Ingar Grøtli

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Marialena Vagia

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Sigurd Aksnes Fjerdingen

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Magnus Christian Bjerkeng

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Aksel Andreas Transeth

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS
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