skip to main content
10.1145/3674225.3674231acmotherconferencesArticle/Chapter ViewAbstractPublication PagespeaiConference Proceedingsconference-collections
research-article

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

Published: 31 July 2024 Publication History

Abstract

The paper introduces the research results and the latest progress of equipment condition monitoring technology at home and abroad on the basis of the basic system structure of power measurement automation system and power measurement device, outlines some of the existing more mature condition monitoring technology and its applicability; introduces in detail the principle, technology and realization method applied to the monitoring of the operation condition of the power measurement device. By comprehensively analyzing and applying the information of different dimensions, the purpose of condition monitoring of power metering devices is realized.

References

[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]
Zhen Z X X Z C . Design and engineering application of a new type of copper bar-embedded metering box based on DFA theory [J]. Journal of Physics: Conference Series, 2023, 2636 (1).
[3]
yoon s s a s m . BSEMS-A Blockchain-Based Smart Energy Measurement System [J]. Sensors, 2023, 23 (19).
[4]
Xinggang X Y Q Y L . Fault Diagnosis Method for High Voltage Power Metering System Based on the PCA-ELM Algorithm [J]. Journal of Physics: Conference Series, 2023, 2592 (1).
[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).
[6]
Yao T S Y G Z F . Research on Intelligent Verification System of High Voltage Electric Energy Metering Device Based on Power Cloud [J]. Electronics, 2023, 12 (11).
[7]
Diqiu X X Y W X . A positive and negative sequence current measuring device and method based on an electric energy metering platform [J]. Journal of Physics: Conference Series, 2023, 2503 (1).
[8]
s k s g m g r . Data transmission using secure hybrid techniques for smart energy metering devices [J]. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2023, 4
[9]
Doron M N C . Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing [J]. Heliyon, 2022, 8 (12): e11542-e11542.
[10]
Goran D I K M . Blockchain-Based Concept for Digital Transformation of Traceability Pyramid for Electrical Energy Measurement [J]. Sensors, 2022, 22 (23): 9292-9292.

Index Terms

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

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
      January 2024
      969 pages
      ISBN:9798400716638
      DOI:10.1145/3674225
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 31 July 2024

      Permissions

      Request permissions for this article.

      Check for updates

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      PEAI 2024

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 10
        Total Downloads
      • Downloads (Last 12 months)10
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 17 Feb 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format.

      HTML Format

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media