Intelligent techniques for incipient fault diagnosis of power transformer
مقدم أطروحة جامعية
الجامعة
الجامعة التكنولوجية
الكلية
-
القسم الأكاديمي
قسم الهندسة الكهربائية
دولة الجامعة
العراق
الدرجة العلمية
دكتوراه
تاريخ الدرجة العلمية
2006
الملخص الإنجليزي
Recent years, oil -filled power transformer incipient faults diagnosis, is very important in power system fault analysis.
The fault diagnosis based on Dissolved Gas oil Analysis (DGA) is widely accepted as most reliable tools, for earliest detection of incipient faults in power transformer, in case that information used in oil filled power transformer fault diagnosis are not always accurate and incomplete, that make it difficult to construct and develop an accurate models.
This work is devoted to introduce an efficient and accurate system for early fault detection through using the Soft Computing Techniques (SCT) by developing Fuzzy logic and Neural implementation and Expert System Fuzzy Logic (ESFL) to modify traditional techniques .These techniques are tested with different conditions of oil samples taken from many company documentation of oil test centers, and the results are more accurate than obtained in the last techniques.
Different power transformer oil samples taken from Al-Name gas power station with different time intervals are analysed by Gas Chromatography (G.C) Laboratories in Al-Basrah petrochemical factory then tested by our techniques, the proposed techniques achieved an accuracy of 96.90 % with 63.36 % better than the traditional techniques.
The results can help for developing better power transformer maintenance strategies, and serve as the basis of on-line DGA transformer monitor.
Most conclusion verifies that the Hybrid Diagnosis using expert system and fuzzy logic is much better than traditional techniques.
Also the analysis makes an evaluation for Al-Name Gas station power transformer performance by using the new intelligent techniques.
التخصصات الرئيسية
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jumeaa, Fadil Abbas. (2006). Intelligent techniques for incipient fault diagnosis of power transformer. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305921
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jumeaa, Fadil Abbas. Intelligent techniques for incipient fault diagnosis of power transformer. (Doctoral dissertations Theses and Dissertations Master). University of Technology. (2006).
https://search.emarefa.net/detail/BIM-305921
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jumeaa, Fadil Abbas. (2006). Intelligent techniques for incipient fault diagnosis of power transformer. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-305921
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-305921
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر