Research on Artificial Intelligence-based Condition Monitoring Technology for Electricity Metering Equipment-Reference-Cited by-同舟云学术

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Research on Artificial Intelligence-based Condition Monitoring Technology for Electricity Metering Equipment

Published:2024-01-19 Issue: Volume:2636 Page:24-28
ISSN:
Container-title:2024 International Conference on Power Electronics and Artificial Intelligence
language:
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Author:

Huang Rui¹^ORCID,Nong Weizheng¹^ORCID,Chen Xiao¹^ORCID,Du Xiao¹^ORCID,Liu Zhiyuan¹^ORCID

Affiliation:

1. Baise Power Supply Bureau, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674225.3674231

Reference10 articles.

1. Štambuk Igor; Konjevod Jure; Malarić Roman; Šala Alan. Extended channel characterization of the low-cost sampling devices for the application in high-precision electric power measurement [J]. Measurement, 2023, 223

2. Design and engineering application of a new type of copper bar-embedded metering box based on DFA theory [J];Zhen Z X X Z C;Journal of Physics: Conference Series,2023

3. yoon s s a s m . BSEMS-A Blockchain-Based Smart Energy Measurement System [J]. Sensors, 2023, 23 (19).

4. Fault Diagnosis Method for High Voltage Power Metering System Based on the PCA-ELM Algorithm [J];Xinggang X Y Q Y L;Journal of Physics: Conference Series,2023

5. Huan W X C L . Energy Measurement Technology of Low-frequency 20 Hz Intelligent Energy Meter [J]. Journal of Physics: Conference Series, 2023, 2584 (1).

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