classification of d.c glow discharge regions by fuzzy logic technique

classification of d.c glow discharge regions by fuzzy logic technique

ABSTRACT<br /> A fuzzy logic model was constructed to classify the d.c glow discharge regions (Townsend dark region, glow discharge region, arc discharge) which including the design of computerized fuzzy inference system that depends on one of the intelligent techniques (Fuzzy logic). Their in...

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Main Author: Nabhan AbdulKareem Hamdoon
Format: Article
Language:Arabic
Published: College of Education for Pure Sciences 2013-03-01
Series:مجلة التربية والعلم
Subjects:
d.c glow
discharge
fuzzy
logic
technique
Online Access:https://edusj.mosuljournals.com/article_89421_4bc0fcd0217af0c9e0e6a6c1d8bb32d5.pdf
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spelling doaj-5f271f8ea5ca4a1288eb16b2d4fbcddf2020-11-25T01:10:09ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302013-03-0126113314810.33899/edusj.2013.8942189421classification of d.c glow discharge regions by fuzzy logic techniqueNabhan AbdulKareem HamdoonABSTRACT<br /> A fuzzy logic model was constructed to classify the d.c glow discharge regions (Townsend dark region, glow discharge region, arc discharge) which including the design of computerized fuzzy inference system that depends on one of the intelligent techniques (Fuzzy logic). Their input consists of linguistic variables describing the fundamental parameters (current, voltage) of standard (I-V) curve of electrical discharge, and their output consists of three linguistic variables(dark, glow, arc) that describe the d.c. electrical discharge regions. It is suggested in this study that three different types of Gaussian membership functions in different forms for each variable. The results seem to be a good compatible with other published researches, making use of the MATLAB scientific software version 7.6.0.324 (R2008ahttps://edusj.mosuljournals.com/article_89421_4bc0fcd0217af0c9e0e6a6c1d8bb32d5.pdfd.c glowdischargefuzzylogictechnique
collection DOAJ
language Arabic
format Article
sources DOAJ
author Nabhan AbdulKareem Hamdoon
spellingShingle Nabhan AbdulKareem Hamdoon
classification of d.c glow discharge regions by fuzzy logic technique
مجلة التربية والعلم
d.c glow
discharge
fuzzy
logic
technique
author_facet Nabhan AbdulKareem Hamdoon
author_sort Nabhan AbdulKareem Hamdoon
title classification of d.c glow discharge regions by fuzzy logic technique
title_short classification of d.c glow discharge regions by fuzzy logic technique
title_full classification of d.c glow discharge regions by fuzzy logic technique
title_fullStr classification of d.c glow discharge regions by fuzzy logic technique
title_full_unstemmed classification of d.c glow discharge regions by fuzzy logic technique
title_sort classification of d.c glow discharge regions by fuzzy logic technique
publisher College of Education for Pure Sciences
series مجلة التربية والعلم
issn 1812-125X
2664-2530
publishDate 2013-03-01
description ABSTRACT<br /> A fuzzy logic model was constructed to classify the d.c glow discharge regions (Townsend dark region, glow discharge region, arc discharge) which including the design of computerized fuzzy inference system that depends on one of the intelligent techniques (Fuzzy logic). Their input consists of linguistic variables describing the fundamental parameters (current, voltage) of standard (I-V) curve of electrical discharge, and their output consists of three linguistic variables(dark, glow, arc) that describe the d.c. electrical discharge regions. It is suggested in this study that three different types of Gaussian membership functions in different forms for each variable. The results seem to be a good compatible with other published researches, making use of the MATLAB scientific software version 7.6.0.324 (R2008a
topic d.c glow
discharge
fuzzy
logic
technique
url https://edusj.mosuljournals.com/article_89421_4bc0fcd0217af0c9e0e6a6c1d8bb32d5.pdf
work_keys_str_mv AT nabhanabdulkareemhamdoon classificationofdcglowdischargeregionsbyfuzzylogictechnique
_version_ 1725176648997797888

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