Transformer fault diagnosis method using IoT based monitoring system and ensemble machine learning-Reference-Cited by-同舟云学术

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Transformer fault diagnosis method using IoT based monitoring system and ensemble machine learning

Published:2020-07 Issue: Volume:108 Page:533-545
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Zhang Chaolong,He Yigang,Du Bolun,Yuan Lifen,Li Bing,Jiang Shanhe

Funder

National Natural Science Foundation of China

State Key Program of National Natural Science Foundation of China

national key research and development plan, China

Equipment research project in advance

Natural Science Foundation of Hunan Province, China

Natural Science Research Key Project of Education Department of Anhui Province, China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference47 articles.

1. Vibration characteristic investigation on distribution transformer influenced by DC magnetic bias based on motion transmission model;Liu;Int. J. Electr. Power Energy Syst.,2018

2. Development of an efficient distribution transformer using amorphous core and vegetable insulating oil;Feil;Electr. Power Syst. Res.,2017

3. Improvement of operation of power transformer protection system during sympathetic inrush current phenomena using fault current limiter;Sadeghi;IET Gener. Transm. Distrib.,2018

4. The impact of inrush currents on the mechanical stress of high voltage power transformer coils;Steurer;IEEE Trans. Power Deliv.,2002

5. Design and implementation of real time transformer health monitoring system using GSM technology;Rahman,2017

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