A Multi-feature Fusion Method for DC Arc Fault Diagnosis Based on EEMD and FCM-Reference-Cited by-同舟云学术

A Multi-feature Fusion Method for DC Arc Fault Diagnosis Based on EEMD and FCM

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Power and Energy Applications (ICPEA)
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Author:

Wang Tianze¹,Xu Yonghai¹,Chen Lin¹,Tao Shun¹,Liu Penglong²,Zhang Xuemei²,Chen Yunlong²

Affiliation:

1. North China Electric Power University,Beijing,China

2. Marketing Service Center (Metering Center) State Grid Shandong Electric Power Company,Jinan,Shandong,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10052109/10052115/10052562.pdf?arnumber=10052562

Reference13 articles.

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2. Multi-scale fuzzy entropy and its application in rolling bearing fault diagnosis[J];jinde;Journal of Vibration Engineering,2014

3. Fault Acoustic Diagnosis Method of Universal Circuit Breaker Based on Multi-feature Fusion and Improved QPSO-RVM[J];shuguang;Transactions of China Electrotechnical Society,2017

4. Dc arc fault detection method and its anti-interference in photovoltaic system[J];chunhua;Proceedings of the CSEE,2018

5. Analysis of Key Problems of new energy replacement in China under energy transition[J];yongqi;Proceedings of the CSEE,2022

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