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An Improved Physical-Stochastic Model for Simulating Electrical Tree Propagation in Solid Polymeric Dielectrics.

Johnatan M Rodríguez-Serna1,2, Ricardo Albarracín-Sánchez1, Isabel Carrillo3

  • 1Departamento de Ingeniería Eléctrica, Electrónica, Automática y Física Aplicada, Escuela Técnica Superior de Ingeniería y Diseño Industrial (ETSIDI), Universidad Politécnica de Madrid (UPM), Ronda de Valencia 3, 28012 Madrid, Spain.

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|August 14, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an improved physical-stochastic model to simulate electrical tree propagation in solid dielectrics. The model accurately predicts tree behavior, aiding in assessing the remaining useful life of polymeric materials.

Keywords:
dielectric breakdownelectrical tree propagationepoxy resininsulation ageingphysical-stochastic models

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Physics

Background:

  • Dielectric breakdown in solid polymers is caused by electrical treeing.
  • Assessing the remaining useful life of dielectrics is crucial for system reliability.
  • Non-intrusive measurements like partial discharges (PD) can correlate with tree propagation.

Purpose of the Study:

  • To review existing models for simulating electrical tree propagation.
  • To propose a novel, improved physical-stochastic model for analyzing electrical treeing.
  • To quantitatively and qualitatively assess electrical tree propagation in polymeric dielectrics.

Main Methods:

  • Review of current electrical tree propagation models.
  • Development of an improved physical-stochastic model.
  • Simulation of electrical tree propagation using the proposed model.
  • Correlation of simulation results with literature data.

Main Results:

  • The proposed model provides a quantitative and qualitative analysis of electrical tree propagation.
  • Simulation outcomes demonstrate strong agreement with existing experimental measurements.
  • The model effectively predicts the behavior of electrical tree growth in polymeric dielectrics.

Conclusions:

  • The developed physical-stochastic model adequately predicts electrical tree propagation.
  • Further experimental validation is recommended to enhance model accuracy.
  • The model shows promise for assessing the remaining useful life of solid dielectrics.