Breakdown Voltage Prediction for Sphere and Semispheroid Geometries With Gaussian Process Regression-Based Model Under the Application of Lightning Impulses of Both Polarities-Reference-Cited by-同舟云学术

Breakdown Voltage Prediction for Sphere and Semispheroid Geometries With Gaussian Process Regression-Based Model Under the Application of Lightning Impulses of Both Polarities

Published:2022 Issue:2 Volume:45 Page:132-140
ISSN:2694-1783
Container-title:IEEE Canadian Journal of Electrical and Computer Engineering
language:
Short-container-title:IEEE Can. J. Electr. Comput. Eng.

Author:

M. S. Vidya¹^ORCID,K. Sunitha²,Kumar Deepa S.³,Mishra Deepak⁴,S. Ashok²

Affiliation:

1. Department of Electrical Engineering, College of Engineering Trivandrum, Thiruvananthapuram, India

2. Department of Electrical Engineering, National Institute of Technology, Calicut, Kerala, India

3. Power Networks Demonstration Center, University of Strathclyde, Glasgow, U.K.

4. Department of Avionics, Indian Institute of Space Science and Technology, Valiamala, Kerala, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/9349829/9758989/09766063.pdf?arnumber=9766063

Reference20 articles.

1. Prediction of insulating transformer oils breakdown voltage considering barrier effect based on artificial neural networks

2. Hybrid prediction of the power frequency breakdown voltage of short air gaps based on orthogonal design and support vector machine

3. Energy storage features and a predictive model for switching impulse flashover voltages of long air gaps

4. Electrostatic field features on the shortest interelectrode path and a SVR model for breakdown voltage prediction of rod–plane air gaps

5. Analysis on electrostatic behavior of a conducting prolate spheroid under an electric field

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