BP神经网络预测电极速度影响放电参数分析

doi:10.16180/j.cnki.issn1007-7820.2019.06.009

Abstract

Abstract:

The dual-process model of small gap discharge was used to investigate the influence of the change of field intensity and pressure on the internal correlation factors of the discharge gap, and the BP neural network was applied to predict and analyze the influence of the electrode moving speed on the discharge parameters. Based on the electrostatic discharge electrode moving speed effect detector, the electrode moving speed was continuously changed, and the discharge experiment had been repeated several times to obtain and statistically calculated the test data. Meanwhile, BP neural network was used to train and learn the measured experimental data, so as to predict the current rise time and peak current at different speeds and pressures. The results showed that there was no correlation between the rising time of the discharge current and the moving speed of the electrode. According to the new method, the accuracy of peak current at different speeds was higher than that of the actual size. The research results was of great reference value in exploring the law of non-contact electrostatic discharge and the formulation of electrostatic discharge standards.

Key words: electrostatic discharge, electrode movement speed, BP neural network, learning and training, prediction, disciplinary

CLC Number:

TP183

GUAN Sheng,RUAN Fangming,ZHOU Kui,SU Ming,WANG Heng,DENG Di,LI Jia. Analysis of Discharge Parameters Affected by BP Neural Network Predicting Electrode Velocity[J].Electronic Science and Technology, 2019, 32(6): 43-48.

Figures/Tables 14

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References 16

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电极速度/m·s^-1	实际电流/A	预测电流/A	预测正确率
0.11	1.884	1.85	98.20%
0.16	2.089	2.109	99.04%
0.23	2.181	2.11	96.74%
0.29	2.231	2.31	96.46%
0.39	2.56	2.48	96.88%

电极速度/m·s^-1	实际电流/A	预测电流/A	预测正确率
0.49	2.601	2.669 4	97.37%
0.51	2.632	2.658 1	99.01%
0.54	2.593	2.630 8	98.54%
0.57	2.522	2.596 6	97.04%
0.6	2.465	2.559 4	96.17%

Analysis of Discharge Parameters Affected by BP Neural Network Predicting Electrode Velocity

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