- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
classification of d.c glow discharge regions by fuzzy logic technique | ||
| Journal of Education and Science | ||
| Article 25, Volume 26, Issue 1, 2013, Pages 133-148 PDF (0 K) | ||
| DOI: 10.33899/edusj.2013.89421 | ||
| Author | ||
| Nabhan AbdulKareem Hamdoon* | ||
| Abstract | ||
| ABSTRACT 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 | ||
| Keywords | ||
| d.c glow; discharge; fuzzy; logic; technique | ||
|
Statistics Article View: 474 PDF Download: 423 |
||