Development of a fuzzy inference model for the management of a marine engine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F20%3A43895545" target="_blank" >RIV/44555601:13440/20:43895545 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-54215-3_21" target="_blank" >http://dx.doi.org/10.1007/978-3-030-54215-3_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-54215-3_21" target="_blank" >10.1007/978-3-030-54215-3_21</a>
Alternative languages
Result language
angličtina
Original language name
Development of a fuzzy inference model for the management of a marine engine
Original language description
The paper presents the results of the research concerning development of a fuzzy inference system to determine the current state of marine engine based on criteria established by the manufacturer. The practical implementation of the proposed model has been carried out for marine engine Wärtsilä 6L46C, which is one of the most used types of current marine engines. Implementation of the fuzzy inference system was performed based on R software using Mamdani inference algorithm. The gaussian and triangular membership functions were used for input and output variables respectively during the simulation process. The results of the simulation have shown that value of the output parameter (technical state of engine) was changed within the range from 0.15 to 0.893 during variation of the input parameters from minimal to maximal values. This fact indicates the adequate of the proposed fuzzy inference system operation
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-3-030-54214-6
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
10
Pages from-to
331-340
Publisher name
Springer
Place of publication
Switzerland
Event location
Ukraine
Event date
May 25, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000614116800021