Analysis of Discharge Parameters Influenced by Electrode Velocity Based on LSTM Prediction Model

Relationships were discussed in this work between discharge current and electrode moving speed, ionization coefficient, field strength, gas pressure, temperature, humidity and other factors. Gas flow distribution around electrode, according to Bernoulli's law in aerodynamics, was analyzed during the electrode moving toward the target. Mechanism was explained on forming of local part low vacuum in the discharge gap. Two sub-processes of gas ionization avalanche process and surface electronic emission process were used to describe small gap discharge. With Paschen's law, analysis of influence was performed on discharge current by electrode moving speed toward the target. Experiments were conducted many times based on test platform of electrostatic discharge electrode moving speed effect, while experiment data were recorded. Long Short-Term Memory network (LSTM) model was used to train and learn experimental data, predicted peak value of discharge current at different electrode moving speeds and rise time. The experimental results show that there is a strong correlation between the electrode moving speed and the peak discharge current, while there is a certain correlation between the electrode moving speed and the current rise time, but it is relatively weak. The research results maybe have some reference significance for the proposal and formulation of non-contact electrostatic discharge standards.