Online Diagnostic Method and System Design of Arc Plasma Jet Characteristics based on Wavelet Transform and Linear Regression Theory

Abstract

Abstract For monitoring the online jet characteristics and improving the corresponding diagnostic accuracy, caused by the complex working environment of arc plasma generation systems, an online diagnostic method of arc plasma jet characteristics based on wavelet transform and linear regression theory was proposed. The wavelet denoising to improve the accuracy of plasma jet characteristics and the linear regression theory to predict the plasma arc voltage characteristics have been discussed. Hence, a comprehensive online diagnostic system of plasma jet characteristics has been designed by integrating the proposed method with LabVIEW virtual instrument technology. To verify the effectiveness of the online diagnostic method and system, the corresponding experiments have been conducted by using a homemade plasma generation system with specified working parameters. Sequence, the experimental results have been analyzed and discussed. The experimental results show that: ① the proposed online diagnostic method based on wavelet transform and linear regression theory could effectively improve the accuracy and predict the jet characteristics of plasma jets; ② the online jet characteristics of thermal plasma jet could be monitored by using the corresponding diagnostic system.