Research on Comprehensive Diagnosis and Localization Method of Defects in Converter Transformer-Reference-Cited by-同舟云学术

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Research on Comprehensive Diagnosis and Localization Method of Defects in Converter Transformer

Published:2023-08 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd Power System and Green Energy Conference (PSGEC)
language:
Short-container-title:

Author:

Zhou ChenHui¹,Ji Yuhao²,Liang SuNing²,Liang HongSheng³,Cai GuangSheng²,Mu Haibao¹,Lu Xiaofeng⁴

Affiliation:

1. State key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University,Xi'an,China

2. State Grid Zhejiang Electric Power Co., Ltd.,HangZhou,China

3. State Grid corporation of China,HangZhou,China

4. HangZhou YiNeng Power Technology Co., Ltd.,HangZhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10255721/10255807/10255976.pdf?arnumber=10255976

Reference6 articles.

1. A new image-oriented feature extraction method for partial discharges

2. Time-frequency sparsity map on automatic partial discharge sources separation for power transformer condition assessment

3. Applications of Clustering and Isolation Forest Techniques in Real-Time Building Energy-Consumption Data: Application to LEED Certified Buildings

4. Multi-source Partial Discharge Diagnosis of Transformer Based on Random Forest[J];cheng;Proceedings of the CSEE,0

5. Synchronous multi-channel PD measurements

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