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Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation.

Carlos Boya1, Guillermo Robles2, Emilio Parrado-Hernández3

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Independent Component Analysis (ICA) effectively separates Ultra High Frequency (UHF) signals from multiple partial discharge (PD) sources. This method aids in pinpointing insulation defects in electrical equipment for accurate online monitoring.

Keywords:
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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Materials Science

Background:

  • Online monitoring of electrical equipment insulation is crucial for preventing failures.
  • Ultra High Frequency (UHF) electromagnetic energy measurement detects partial discharges (PD).
  • Identifying specific assets with insulation defects is challenging with multiple simultaneous PD sources.

Purpose of the Study:

  • To propose and evaluate an Independent Component Analysis (ICA) algorithm for separating PD signals.
  • To improve the accuracy of pinpointing insulation defects in electrical equipment.
  • To enhance the reliability of online monitoring systems for electrical insulation.

Main Methods:

  • Utilized an Independent Component Analysis (ICA) algorithm to demix PD signals.
  • Generated UHF signals from test objects simulating insulation defects.
  • Validated ICA performance using Support Vector Machines (SVM) and Similarity with Class Mean (SCM) classification techniques.

Main Results:

  • The ICA algorithm successfully separated UHF signals originating from different PD sources.
  • Classification techniques confirmed the algorithm's ability to distinguish individual PD signal contributions.
  • Effective separation was achieved even when PD sources exhibited similar insulation defect characteristics.

Conclusions:

  • Independent Component Analysis (ICA) is a suitable method for de-mixing and identifying individual partial discharge (PD) sources.
  • This technique enhances the diagnostic capabilities for electrical equipment insulation monitoring.
  • The proposed method offers a robust solution for complex scenarios with multiple simultaneous insulation defects.