Intelligent fuzzy logic controller for painting system of vessel

The most effective way to keep the operating costs to a minimum is controlling corrosion and fouling by painting the vessel and doing a regular maintenance. The quality of the panting is significantly influenced by various inspection and evaluation. The quality of painting depends on Coating, Thickn...

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Main Authors: Wan Mohamad, Wan Munirah, Ahmad, Tahir, Ashaari, Azmirul
Format: Conference or Workshop Item
Published: 2021
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Online Access:http://eprints.utm.my/id/eprint/98165/
http://dx.doi.org/10.1063/5.0075684
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Institution: Universiti Teknologi Malaysia
id my.utm.98165
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spelling my.utm.981652022-12-06T03:40:51Z http://eprints.utm.my/id/eprint/98165/ Intelligent fuzzy logic controller for painting system of vessel Wan Mohamad, Wan Munirah Ahmad, Tahir Ashaari, Azmirul QA Mathematics The most effective way to keep the operating costs to a minimum is controlling corrosion and fouling by painting the vessel and doing a regular maintenance. The quality of the panting is significantly influenced by various inspection and evaluation. The quality of painting depends on Coating, Thickness and Gloss. This paper addresses fuzzy logic control (FLC) approach to measure quality-painting jobs for vessels. Fuzzy Logic Toolbox of MATLAB aids the development of FLC. 2021 Conference or Workshop Item PeerReviewed Wan Mohamad, Wan Munirah and Ahmad, Tahir and Ashaari, Azmirul (2021) Intelligent fuzzy logic controller for painting system of vessel. In: International Conference on Mathematical Sciences and Technology 2020: Sustainable Development of Mathematics and Mathematics in Sustainability Revolution, MATHTECH 2020, 8 - 10 December 2020, Penang, Malaysia. http://dx.doi.org/10.1063/5.0075684
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Wan Mohamad, Wan Munirah
Ahmad, Tahir
Ashaari, Azmirul
Intelligent fuzzy logic controller for painting system of vessel
description The most effective way to keep the operating costs to a minimum is controlling corrosion and fouling by painting the vessel and doing a regular maintenance. The quality of the panting is significantly influenced by various inspection and evaluation. The quality of painting depends on Coating, Thickness and Gloss. This paper addresses fuzzy logic control (FLC) approach to measure quality-painting jobs for vessels. Fuzzy Logic Toolbox of MATLAB aids the development of FLC.
format Conference or Workshop Item
author Wan Mohamad, Wan Munirah
Ahmad, Tahir
Ashaari, Azmirul
author_facet Wan Mohamad, Wan Munirah
Ahmad, Tahir
Ashaari, Azmirul
author_sort Wan Mohamad, Wan Munirah
title Intelligent fuzzy logic controller for painting system of vessel
title_short Intelligent fuzzy logic controller for painting system of vessel
title_full Intelligent fuzzy logic controller for painting system of vessel
title_fullStr Intelligent fuzzy logic controller for painting system of vessel
title_full_unstemmed Intelligent fuzzy logic controller for painting system of vessel
title_sort intelligent fuzzy logic controller for painting system of vessel
publishDate 2021
url http://eprints.utm.my/id/eprint/98165/
http://dx.doi.org/10.1063/5.0075684
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