Artificial Neural Network for STEM-ED in Power Transformer Failure Investigation Based on Power Utility Practice-Reference-Cited by-同舟云学术

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Artificial Neural Network for STEM-ED in Power Transformer Failure Investigation Based on Power Utility Practice

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International STEM Education Conference (iSTEM-Ed)
language:
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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,Faculty of Engineering,Department of Electrical and Computer Engineering,Bangkok,Thailand

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

Funder

King Mongkut's University of Technology North Bangkok

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10305706/10305599/10305793.pdf?arnumber=10305793

Reference6 articles.

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

2. Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases

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. Application of back propagation neural network in complex diagnostics and forecasting loss of life of cellulose paper insulation in oil-immersed transformers;Scientific Reports;2024-03-13

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