Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique
المؤلفون المشاركون
Mharakurwa, Edwell Tafara
Nyakoe, G. N.
Akumu, A. O.
المصدر
Journal of Electrical and Computer Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-03
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Decision making on transformer insulation condition based on the evaluated incipient faults and aging stresses has been the norm for many asset managers.
Despite being the extensively applied methodology in power transformer incipient fault detection, solely dissolved gas analysis (DGA) techniques cannot quantify the detected fault severity.
Fault severity is the core property in transformer maintenance rankings.
This paper presents a fuzzy logic methodology in determining transformer faults and severity through use of energy of fault formation of the evolved gasses during transformer faulting event.
Additionally, the energy of fault formation is a temperature-dependent factor for all the associated evolved gases.
Instead of using the energy-weighted DGA, the calculated total energy of related incipient fault is used for severity determination.
Severity of faults detected by fuzzy logic-based key gas method is evaluated through the use of collected data from several in-service and faulty transformers.
DGA results of oil samples drawn from transformers of different specifications and age are used to validate the model.
Model results show that correctly detecting fault type and its severity determination based on total energy released during faults can enhance decision-making in prioritizing maintenance of faulty transformers.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mharakurwa, Edwell Tafara& Nyakoe, G. N.& Akumu, A. O.. 2019. Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1173904
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mharakurwa, Edwell Tafara…[et al.]. Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1173904
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mharakurwa, Edwell Tafara& Nyakoe, G. N.& Akumu, A. O.. Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1173904
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1173904
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