APPLICATION OF NEURAL NETWORK FOR FREQUENCY ANALYSIS OF ELECTROSTATIC DISCHARGE

Authors

Askat Asan uulu Kyrgyz State Technical University named after I. Razzakov

Keywords:

electrostatic discharge, potential equation, fast Fourier transform, frequency spectrum, neural network

Abstract

The expressions of the frequency spectrum of emitted electrostatic discharge (ESD) fields were obtained in analytical form using the potential equations of emitted fields. The spectral characteristics of air ESD were investigated using artificial neural networks. The amplitude and power spectrum were compared at different discharge voltages, demonstrating that the energy of air ESD predominates in the low-frequency range. The study of the ESD spectrum in the air can serve as reference material and a guide for ESD prevention technology.

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