A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment

المؤلفون المشاركون

Zhang, Liguo
Wang, Yan

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-05-18

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

هندسة مدنية

الملخص EN

The fault diagnosis method based on dissolved gas analysis (DGA) is of great significance to detect the potential faults of the transformer and improve the security of the power system.

The DGA data of transformer in smart grid have the characteristics of large quantity, multiple types, and low value density.

In view of DGA big data’s characteristics, the paper first proposes a new combined fault diagnosis method for transformer, in which a variety of fault diagnosis models are used to make a preliminary diagnosis, and then the support vector machine is used to make the second diagnosis.

The method adopts the intelligent complementary and blending thought, which overcomes the shortcomings of single diagnosis model in transformer fault diagnosis, and improves the diagnostic accuracy and the scope of application of the model.

Then, the training and deployment strategy of the combined diagnosis model is designed based on Storm and Spark platform, which provides a solution for the transformer fault diagnosis in big data environment.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wang, Yan& Zhang, Liguo. 2017. A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1192774

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wang, Yan& Zhang, Liguo. A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment. Mathematical Problems in Engineering No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1192774

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wang, Yan& Zhang, Liguo. A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1192774

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1192774