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Digital
Library of the European Council for Modelling
and Simulation |
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Title: |
An Intelligent Winch Prototyping Tool |
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Authors: |
Robin T. Bye,
Ottar L. Osen, Webjoern Rekdalsbakken, Birger Skogeng Pedersen, Ibrahim A.
Hameed |
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Published in:
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(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás
Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and
Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
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Citation
format: |
Robin
T. Bye, Ottar L. Osen, Webjoern Rekdalsbakken, Birger Skogeng Pedersen,
Ibrahim A. Hameed (2017). An Intelligent Winch Prototyping Tool, ECMS 2017
Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi,
Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics
European Council for Modeling and Simulation. doi:
10.7148/2017-0276 |
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DOI: |
https://doi.org/10.7148/2017-0276 |
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Abstract: |
In
this paper we present a recently developed intelligent winch prototyping tool
for optimising the design of maritime winches, continuing our recent line of
work using artificial intelligence for intelligent computer-automated design
of offshore cranes. The tool consists of three main components: (i) a winch
calculator for determining key performance indicators for a given winch
design; (ii) a genetic algorithm that interrogates the winch calculator to
optimise a chosen set of design parameters; and (iii) a web graphical user
interface connected with (i) and (ii) such that winch designers can use it to
manually design new winches or optimise the design by the click of a button.
We demonstrate the feasibility of our work by a case study in which we
improve the torque profiles of a default winch design by means of optimisation.
Extending our generic and modular software framework for intelligent product
optimisation, the winch calculator can easily be interfaced to external
product optimisation clients by means of the HTTP and WebSocket protocols and
a standardised JSON data format. In an accompanying paper submitted
concurrently to this conference, we present one such client developed in
Matlab that incorporates a variety of intelligent algorithms for the
optimisation of maritime winch design. |
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