<div class="csl-bib-body">
<div class="csl-entry">Zhang, X., Xu, X., Xu, X., Gao, D., Gao, H., Wang, G., & Grosu, R. (2020). Intelligent Sea States Identification Based on Maximum Likelihood Evidential Reasoning Rule. <i>Sci</i>, <i>.</i>(22(7)), 25. https://doi.org/10.3390/e22070770</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/141431
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dc.description.abstract
It is necessary to switch the control strategies for propulsion system frequently according to the changes of sea states in order to ensure the stability and safety of the navigation. Therefore, identifying the current sea state timely and effectively is of great significance to ensure ship safety. To this end, a reasoning model that is based on maximum likelihood evidential reasoning (MAKER) rule is developed to identify the propeller ventilation type, and the result is used as the basis for the sea states identification. Firstly, a data-driven MAKER model is constructed, which fully considers the interdependence between the input features. Secondly, the genetic algorithm (GA) is used to optimize the parameters of the MAKER model in order to improve the evaluation accuracy. Finally, a simulation is built to obtain experimental data to train the MAKER model, and the validity of the model is verified. The results show that the intelligent sea state identification model that is based on the MAKER rule can identify the propeller ventilation type more accurately, and finally realize intelligent identification of sea states.
en
dc.language.iso
en
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dc.relation.ispartof
Sci
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dc.title
Intelligent Sea States Identification Based on Maximum Likelihood Evidential Reasoning Rule
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
25
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dc.type.category
Original Research Article
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tuw.container.volume
.
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tuw.container.issue
22(7)
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
C4
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tuw.researchTopic.name
Mathematical and Algorithmic Foundations
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
Sci
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tuw.publication.orgunit
E191-01 - Forschungsbereich Cyber-Physical Systems
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tuw.publisher.doi
10.3390/e22070770
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dc.identifier.eissn
2413-4155
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dc.description.numberOfPages
25
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.facultyfocus
Computer Engineering (CE)
de
wb.facultyfocus
Computer Engineering (CE)
en
wb.facultyfocus.faculty
E180
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.languageiso639-1
en
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item.openairetype
research article
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item.grantfulltext
restricted
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crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems
-
crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems