Title of article :
A mathematical expression for air ESD current waveform using BP neural network
Author/Authors :
Qimeng Wu، نويسنده , , Ming Wei، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
5
From page :
125
To page :
129
Abstract :
A curve-fitting method based on backpropagation (BP) neural network (NN) is proposed for fitting electrostatic discharge (ESD) current waveforms and giving the corresponding expressions in order to analyze the characteristics of ESD and calculate the ESD electromagnetic pulse radiation field. According to IEC61000-4-2, this method is used to fit the ideal contact current waveform of human-metal ESD to obtain the mathematical expression. The waveform parameters of the fitting curve meet the requirements of the IEC61000-4-2. By fitting the measured air ESD current waveform at 4 kV discharge, the mathematical expression is obtained. This paper proposes the mathematical expression for arbitrary curves and analyzes the factors affecting the effects of curve-fitting.
Keywords :
BPNN , Currentwaveform , Curve-fitting , Meansquareerror , AirESD
Journal title :
JOURNAL OF ELECTROSTATICS
Serial Year :
2013
Journal title :
JOURNAL OF ELECTROSTATICS
Record number :
1265428
Link To Document :
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