A Comparison between Artificial Intelligence Method and Standard Diagnosis Methods for Power Transformer Dissolved Gas Analysis Using Two Public Databases-Reference-Cited by-同舟云学术

A Comparison between Artificial Intelligence Method and Standard Diagnosis Methods for Power Transformer Dissolved Gas Analysis Using Two Public Databases

Published:2020-07-21 Issue:9 Volume:15 Page:1305-1311
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Zheng Hongjie¹,Shioya Ryuji²

Affiliation:

1. Faculty of Science and EngineeringToyo University, 2100 Kujirai, Kawagoe Saitama 3508585 Japan

2. Faculty of Information Sciences and ArtsToyo University, 2100 Kujirai, Kawagoe Saitama 3508585 Japan

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23197

Reference21 articles.

1. IEEE Standard. IEEE guide for the interpretation of gases generated in oil‐immersed transformers. IEEE Standard C57.104‐2008 2009.

2. Electric Technology Research Association.Guideline for the refurbishment of electric power transformers.2009;65(1) (in Japanese).

3. IEC Standard. Mineral oil‐filled electrical equipment in service—Guidance on the interpretation of dissolved and free gases analysis. IEC Publ. 60599 2015.

4. Calculation of DGA Limit Values and Sampling Intervals in Transformers in Service

5. Diagnosis [Feature article];Duval M;IEEE Electrical Insulation Magazine,2008

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