On‐line fault diagnosis model of distribution transformer based on parallel big data stream and transfer learning

Author:

Yang Zhichun12,Yang Fan12,Shen Yu12,Yang Lei12,Su Lei12,Hu Wei12,Le Jian3

Affiliation:

1. Electric Power Research Institute, State Grid Hubei Electric Power Co., Ltd. Wuhan China

2. Key Laboratory of High‐voltage Field‐test Technique of SGCC Wuhan China

3. Wuhan University Wuhan 430077 Hubei Province China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference21 articles.

1. Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement

2. Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey

3. Fault diagnosis of power transformer based on feature Evalu‐ation and kernel principal component analysis;Wu G;High Voltage Engineering,2017

4. New features derived from dissolved gas analysis for fault diagnosis of power transformers;Wang KE;Proceedings of the CSEE,2016

5. Wavelet Networks in Power Transformers Diagnosis Using Dissolved Gas Analysis

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