A new identification method of high voltage circuit breaker mechanical fault based on combined analysis of time‐reference‐distance and shape entropy algorithms-Reference-Cited by-同舟云学术

A new identification method of high voltage circuit breaker mechanical fault based on combined analysis of time‐reference‐distance and shape entropy algorithms

Published:2022-06-16 Issue:17 Volume:16 Page:3416-3425
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Liu Huilan¹,Xu Wenjie¹^ORCID,Zhao Shutao¹,Wang Erxu²,Liu Jiaomin¹,Peng Yonglong¹,Li Yabin¹

Affiliation:

1. Department of Electric Power Engineering North China Electric Power University Baoding People's Republic of China

2. Baoding Power Supply Company State Grid Corporation of China Baoding People's Republic of China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12531

Reference32 articles.

1. Intelligent maintenance model for condition assessment of circuit breakers using fuzzy set theory and evidential reasoning

2. Intelligent fault diagnosis of high-voltage circuit breakers using triangular global alignment kernel extreme learning machine

3. Condition Monitoring of High Voltage Circuit Breakers: Past to Future

4. Relationship Between Historical Trends, Equipment Age, Maintenance, and Circuit Breaker Failure Rates

5. A systematic review of a statistical vacuum circuit breaker model for condition monitoring

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