Analysis of causation of loss of communication with marine autonomous systems: a probability tree approach
Analysis of causation of loss of communication with marine autonomous systems: a probability tree approach
The last decade has seen the eagerly anticipated introduction of marine autonomous systems as a pragmatic tool for ocean observation. However, outstanding reliability problems means that these vehicles are not yet fulfilling their true potential. Of the classes of problems, loss of communication with a marine autonomous system is both fundamental and difficult to diagnose. In our view, this is due to two reasons: first in many cases users are not technologists and secondly if a vehicle is lost the task of diagnosing the root cause is subject to epistemic uncertainty that users are often reluctant to quantify in a formal manner. As a result users may accept the first hypothesis considered as the main root cause for loss of communication. We show that this approach can result in an increased unreliability of marine autonomous systems through failure to ascertain and then address the true root causes. Consequently, we propose a probability tree approach to help diagnose root cause(s) for loss of communication with a marine autonomous system (MAS). The model was developed based on the results of two detailed investigations and a body of failure data collected from 205 undersea glider operations.
Underwater glider, Reliability, Loss, Communication, Marine autonomous systems
122-137
Brito, M.P.
82e798e7-e032-4841-992e-81c6f13a9e6c
Smeed, D.A.
79eece5a-c870-47f9-bba0-0a4ef0369490
Griffiths, G.
2887c3c7-95f2-4834-b3f6-0284344d3580
September 2014
Brito, M.P.
82e798e7-e032-4841-992e-81c6f13a9e6c
Smeed, D.A.
79eece5a-c870-47f9-bba0-0a4ef0369490
Griffiths, G.
2887c3c7-95f2-4834-b3f6-0284344d3580
Brito, M.P., Smeed, D.A. and Griffiths, G.
(2014)
Analysis of causation of loss of communication with marine autonomous systems: a probability tree approach.
Methods in Oceanography, 10, .
(doi:10.1016/j.mio.2014.07.003).
Abstract
The last decade has seen the eagerly anticipated introduction of marine autonomous systems as a pragmatic tool for ocean observation. However, outstanding reliability problems means that these vehicles are not yet fulfilling their true potential. Of the classes of problems, loss of communication with a marine autonomous system is both fundamental and difficult to diagnose. In our view, this is due to two reasons: first in many cases users are not technologists and secondly if a vehicle is lost the task of diagnosing the root cause is subject to epistemic uncertainty that users are often reluctant to quantify in a formal manner. As a result users may accept the first hypothesis considered as the main root cause for loss of communication. We show that this approach can result in an increased unreliability of marine autonomous systems through failure to ascertain and then address the true root causes. Consequently, we propose a probability tree approach to help diagnose root cause(s) for loss of communication with a marine autonomous system (MAS). The model was developed based on the results of two detailed investigations and a body of failure data collected from 205 undersea glider operations.
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Submitted date: January 2014
Accepted/In Press date: August 2014
e-pub ahead of print date: 1 September 2014
Published date: September 2014
Keywords:
Underwater glider, Reliability, Loss, Communication, Marine autonomous systems
Organisations:
Ocean Technology and Engineering, Marine Physics and Ocean Climate
Identifiers
Local EPrints ID: 361141
URI: http://eprints.soton.ac.uk/id/eprint/361141
ISSN: 2211-1220
PURE UUID: a9bbd94c-cb55-4580-a74d-816150d91c9c
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Date deposited: 14 Jan 2014 11:37
Last modified: 15 Mar 2024 03:31
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Author:
D.A. Smeed
Author:
G. Griffiths
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