Fault Diagnosis of Oil-Immersed Transformers Using Self-Organization Antibody Network and Immune Operator
المؤلف
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-11-16
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
There are some drawbacks when diagnosis techniques based on one intelligent method are applied to identify incipient faults in power transformers.
In this paper, a hybrid immune algorithm is proposed to improve the reliability of fault diagnosis.
The proposed algorithm is a hybridization of self-organization antibody network (soAbNet) and immune operator.
There are two phases in immune operator.
One is vaccination, and the other is immune selection.
In the process of vaccination, vaccines were obtained from training dataset by using consistency-preserving K-means algorithm (K-means-CP algorithm) and were taken as the initial antibodies for soAbNet.
After the soAbNet was trained, immune selection was applied to optimize the memory antibodies in the trained soAbNet.
The effectiveness of the proposed algorithm is verified using benchmark classification dataset and real-world transformer fault dataset.
For comparison purpose, three transformer diagnosis methods such as the IEC criteria, back propagation neural network (BPNN), and soAbNet are utilized.
The experimental results indicate that the proposed approach can extract the dataset characteristics efficiently and the diagnostic accuracy is higher than that obtained with other individual methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Liwei. 2014. Fault Diagnosis of Oil-Immersed Transformers Using Self-Organization Antibody Network and Immune Operator. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1046508
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Liwei. Fault Diagnosis of Oil-Immersed Transformers Using Self-Organization Antibody Network and Immune Operator. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1046508
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Liwei. Fault Diagnosis of Oil-Immersed Transformers Using Self-Organization Antibody Network and Immune Operator. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1046508
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1046508
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