A Study on the Life Estimation and Cavity Surface Degradation Due to Partial Discharges in Spherical Cavities within
Johnatan M Rodríguez-Serna1,2, Ricardo Albarracín-Sánchez1
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.
Polymers
|January 27, 2021
Summary
Partial Discharges (PD) in cavities accelerate aging in polymeric dielectrics. This study develops prognosis tools using PD measurements to predict the time-to-breakdown, enhancing electrical asset reliability under stress.
Area of Science:
- Electrical Engineering
- Materials Science
- Polymer Science
Background:
- Partial Discharges (PD) in cavities are a primary cause of aging in polymeric solid dielectrics.
- Mechanisms include chemical/physical deterioration from charge carriers, UV radiation, and local heating during PD activity.
- High electrical stresses in modern applications necessitate improved reliability of electrical assets.
Purpose of the Study:
- To develop prognosis tools for predicting the time-to-breakdown of solid dielectrics based on PD measurements.
- To quantitatively evaluate polymeric material degradation induced by PDs in cavities.
- To analyze the impact of voltage magnitude and frequency on degradation rates.
Main Methods:
- Phenomenological discussion of PD-induced degradation in polymeric materials.
- Quantitative evaluation using a simulation-based approach and a novel damage function.
- Comparison of simulation-derived time-to-breakdown with experimental measurements.
- Analysis of applied voltage magnitude and frequency effects on degradation.
Main Results:
- Simulation-based time-to-breakdown calculations showed good agreement with experimental data.
- The study quantitatively assessed degradation in polymeric materials due to PDs.
- The influence of voltage magnitude and frequency on the degradation rate was analyzed.
Conclusions:
- The developed prognosis tools based on PD measurements are effective for predicting dielectric life.
- Simulation-based approaches can accurately estimate time-to-breakdown for polymeric dielectrics.
- Understanding degradation mechanisms under varying electrical stresses is crucial for asset reliability.
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