Study of the effect of the initiation voltage amplitude and the nature of the insulating materials on the evolution of streamers by neural networks

Fouad Khodja, Mimoun Younes (), Mohammed Laouer, Riad Lakhdar Kherfane and Naas Kherfane
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Fouad Khodja: Djillali Liabes University
Mimoun Younes: Djillali Liabes University
Mohammed Laouer: Djillali Liabes University
Riad Lakhdar Kherfane: Djillali Liabes University
Naas Kherfane: Djillali Liabes University

International Journal of System Assurance Engineering and Management, 2016, vol. 7, issue 1, No 4, 27-33

Abstract: Abstract To determine the characteristics of electrical breakdown of many HV electrode configurations, the formation and propagation of streamers is an important precursor to achieve this goal. It’s a major importance, when we want to improve internal and external performance insulation systems, to understand and study the interaction between the polymer surface and the development process of the streamer. A numerical tool using neural networks is developed in this context. This model allows evaluating the speed of streamers as a function of the amplitude of voltage initiation and the nature of the insulating materials. Indeed, a database was created from a laboratory model, to train different neuronal methods for predicting the evolution of streamers on the polymers surface which presents an interesting tool for estimating the propagation phenomena.

Keywords: Organic insulators; Pre disruptive phenomena; Streamers; Artificial neural networks; Learning process; Neural networks feedforward; Radial basis function networks (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s13198-014-0280-z

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