Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Ocean Waves Estimation: An Artificial Intelligence Approach
Mälardalen University, School of Innovation, Design and Engineering. 1992.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis aims to solve the mathematical inverse problem of characterizing sea waves based on the responses obtained from a marine vessel sailing under certain sea conditions. By researching this problem the thesis contributes to the marine industry by improving products that are using ocean behavior for controlling ship's dynamics. Knowledge about the current state of the sea, such as the wave frequency and height, is important for navigation, control, and for the safety of a vessel. This information can be retrieved from specialized weather reports. However, such information is not at all time possible to obtain during a voyage, and if so usually comes with a certain delay. Therefore this thesis seeks solutions that can estimate on-line the waves' state using methods in the field of Artificial Intelligence. The specific investigation methods are Transfer Functions augmented with Genetic Algorithm, Artificial Neural Networks and Case-Based Reasoning. These methods have been configured and validated using the n-fold cross validation method. All the methods have been tested with an actual implementation. The algorithms have been trained with data acquired from a marine simulation program developed in Simulink. The methods have also been trained and tested using monitored data acquired from an actual ship sailing on the Baltic Sea as well as wave data obtained from a buoy located nearby the vessel's route. The proposed methods have been compared with state-of-the art reports in order evaluate the novelty of the research and its potential applications in industry. The results in this thesis show that the proposed methods can in fact be used for solving the inverse problem. It was also found that among the investigated methods it is the Transfer Function augmented with Genetic Algorithm which yields best results. This Master Thesis is conducted under the Master of Engineering Program in Robotics at Mälardalens högskola in Västerås, Sweden. The thesis was proposed by Q-TAGG R&D AB in Västerås, Sweden, a company which specializes in marine vessel dynamics research.

Place, publisher, year, edition, pages
2017. , 176 p.
Keyword [en]
Artificial Intelligence, Case-Based Reasoning, Encounter Angle, Encounter Spectrum, Feedforward Neural Network, Genetic Algorithm, Inverse Problem, Marine Vessels, Master Thesis, MATLAB, Model Parameter Estimation, Ocean Theory, Peak Period, Response Amplitude Operator, Ships, Significant Wave Height, Transfer Function, Wave Spectrum, Waves
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:mdh:diva-35736OAI: oai:DiVA.org:mdh-35736DiVA: diva2:1108695
External cooperation
QTAGG R&D AB
Subject / course
Computer Science
Presentation
2017-06-01, Kappa, Mälardalens högskola Box 883, 721 23 Västerås, Västerås, 14:05 (English)
Supervisors
Examiners
Available from: 2017-08-11 Created: 2017-06-12 Last updated: 2017-08-11Bibliographically approved

Open Access in DiVA

Thesis(4703 kB)40 downloads
File information
File name FULLTEXT01.pdfFile size 4703 kBChecksum SHA-512
b8c466edef229d60f48e7281472898c7f446f1d55b62492dba390f65f42f632d9dfa49a840d5a8d135672fdde98777578a297b8d2ec475be18ba6d241d5701cf
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Ramberg, Andreas
By organisation
School of Innovation, Design and Engineering
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 40 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 75 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf