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

Nabhan AbdulKareem Hamdoon · University of Mosul, College of Education for Pure Science · 2013

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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

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APA 7

Hamdoon, N. A. (2013). classification of d.c glow discharge regions by fuzzy logic technique. https://doi.org/10.33899/edusj.2013.89421

MLA

Hamdoon, Nabhan AbdulKareem. "classification of d.c glow discharge regions by fuzzy logic technique." 2013. https://doi.org/10.33899/edusj.2013.89421.

Chicago

Hamdoon, Nabhan AbdulKareem. 2013. "classification of d.c glow discharge regions by fuzzy logic technique.". https://doi.org/10.33899/edusj.2013.89421.

Harvard

Hamdoon, N. A. 2013, classification of d.c glow discharge regions by fuzzy logic technique, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2013.89421 [Accessed 8 Aug. 2026].

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Title
classification of d.c glow discharge regions by fuzzy logic technique
Author / contributors
Nabhan AbdulKareem Hamdoon
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2013
ISSN
1812-125X
ISSN
1812-125X
Language
English

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