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A Review of Techniques for RSS-Based Radiometric Partial Discharge Localization.

David W Upton1, Keyur K Mistry2, Peter J Mather3

  • 1Swedish Institute of Space Physics, SE-981 Kiruna, Sweden.

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|February 12, 2021
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Summary

Monitoring partial discharge (PD) is crucial for high-voltage equipment maintenance. This study reviews radiometric detection techniques, specifically using received signal strength (RSS) and wireless sensor networks (WSNs), for effective PD localization and fault prevention.

Keywords:
RSSWSNfield trialslocalization algorithmpartial dischargeradiometric detection

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Area of Science:

  • Electrical Engineering
  • Power Systems
  • Condition Monitoring

Background:

  • High-voltage power systems require continuous condition monitoring for lifespan assessment and maintenance.
  • Electrical insulation degradation, accelerated by partial discharge (PD), is a critical failure precursor in high-voltage equipment.
  • Timely detection and treatment of PD-related defects are essential to prevent catastrophic equipment failures.

Purpose of the Study:

  • To review and analyze radiometric detection techniques for partial discharge (PD) monitoring in high-voltage equipment.
  • To specifically focus on using received signal strength (RSS) for the localization of PD faults.
  • To present an overview of a novel radiometric PD detection technique utilizing a transistor reset integrator (TRI)-based wireless sensor network (WSN).

Main Methods:

  • Review of various partial discharge (PD) detection methods, including acoustic, optical, chemical, and radiometric detection.
  • In-depth analysis of the advantages and disadvantages of radiometric detection techniques for PD.
  • Exploration of a specific radiometric PD detection approach employing a transistor reset integrator (TRI)-based wireless sensor network (WSN) for fault localization via received signal strength (RSS).

Main Results:

  • Radiometric detection offers a viable method for monitoring partial discharge (PD) in high-voltage equipment.
  • Received signal strength (RSS) can be effectively utilized for the spatial localization of PD events.
  • Transistor reset integrator (TRI)-based wireless sensor networks (WSNs) present a promising platform for advanced radiometric PD detection.

Conclusions:

  • Radiometric techniques, particularly those leveraging RSS and WSNs, are valuable for proactive maintenance and failure prevention in high-voltage systems.
  • The reviewed methods contribute to improved condition monitoring strategies, enhancing the reliability and safety of electrical infrastructure.
  • Further development and implementation of TRI-based WSNs for radiometric PD detection can significantly improve fault localization accuracy and system diagnostics.