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An Improved Partial Discharge Detection System Based on UV Pulses Detection.

Zeliang Shen1, Jingang Wang1, Gang Wei2

  • 1School of Electrical Engineering, Chongqing University, Chongqing 400044, China.

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|August 28, 2020
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Summary
This summary is machine-generated.

This study presents an improved ultraviolet (UV) pulse detection system for partial discharge (PD) that is handheld and non-contact. The new system accurately detects weak PD, revealing early equipment issues for enhanced power system protection.

Keywords:
UV pulsesUVTRON sensordetection systempartial discharge (PD)

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Area of Science:

  • Electrical Engineering
  • Power Systems
  • Diagnostic Techniques

Background:

  • Partial discharge (PD) is critical for power system integrity, indicating potential equipment failures.
  • Current Pulse Method (PCM) is reliable but equipment is bulky and not portable.
  • Existing ultraviolet (UV) pulse detection has limitations with weak PD signals and early fault detection.

Purpose of the Study:

  • To introduce an improved partial discharge detection system using the UV Pulse Method.
  • To develop a high-precision, handheld, non-contact device for early discharge detection.
  • To enhance the ability to identify hidden equipment troubles.

Main Methods:

  • Development of an improved UV Pulse Method-based PD detection system.
  • Construction of a corresponding handheld, non-contact detection device.
  • Testing and validation of the system's precision and sensitivity for weak PD signals.

Main Results:

  • The improved system demonstrates high precision in detecting partial discharge.
  • The developed device is portable, non-contact, and user-friendly.
  • The system effectively detects weak PD, indicating early-stage equipment issues.

Conclusions:

  • The improved UV Pulse Method offers a precise and effective approach for PD detection.
  • The handheld device provides a practical solution for early fault identification in power systems.
  • This technology enhances power system reliability by enabling early detection of potential hazards.