Neural Network Approach to Dissolved Gas Analysis for Fault Analysis in Power Transformers-Reference-Cited by-同舟云学术

Neural Network Approach to Dissolved Gas Analysis for Fault Analysis in Power Transformers

Published:2022-03-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Electrical Engineering Congress (iEECON)
language:
Short-container-title:

Author:

Poonnoy Nitchamon¹,Suwanasri Cattareeya²,Suwanasri Thanapong³

Affiliation:

1. King Mongkut’s University of Technology North Bangkok,Faculty of Technical Education,Department of Teacher Training in Electrical Engineering,Bangkok,Thailand

2. King Mongkut’s University of Technology North Bangkok,Electrical and Computer Engineering, Faculty of Engineering,Bangkok,Thailand

3. The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok,Electrical Power and Energy Engineering,Bangkok,Thailand

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741561/9741562/09741595.pdf?arnumber=9741595

Reference7 articles.

1. Comparative Study of DGA Methods for the Incipient Fault Diagnosis in Power Transformer Using ANN Approach;rajat;International Journal of Trend in Scientific Research and Development,2018

2. Artificial neural network (ANN) application in dissolved gas analysis (DGA) methods for the detection of incipient faults in oil-filled power transformer;zakaria;2012 IEEE International Conference on Control System Computing and Engineering Penang,2013

3. Fuzzy Logic Approach to Dissolved Gas Analysis for Power Transformer Failure Index and Fault Identification

4. IEEE Guide for the Interpretation of Gases Generated in Mineral Oil-Immersed Transformers,2019

5. Dissolved Gas Analysis methods for distribution transformers

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Neural Network for STEM-ED in Power Transformer Failure Investigation Based on Power Utility Practice;2023 8th International STEM Education Conference (iSTEM-Ed);2023-09-20