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

被引：1
作者：
Cao, Xiuquan [1 ,2 ]
Guo, Wenyu [1 ]
He, Yong [1 ]
Huang, Bo [1 ]
Wang, Lin [1 ]
Liu, Yuzhe [1 ]
机构：
[1] Sichuan Univ Sci & Engneering, Yibin 644000, Sichuan, Peoples R China
[2] Sichuan Univ Sci & Engneering Yibin, Ind Res Inst, Yibin 644000, Sichuan, Peoples R China
来源：
PLASMA CHEMISTRY AND PLASMA PROCESSING | 2023年 / 43卷 / 05期
关键词：
Wavelet denoising; Linear regression; Virtual instrumentation; Online diagnostic system; Plasma jet characteristics; TECHNOLOGY; GENERATION; TORCH; LONG;
D O I：
10.1007/s11090-023-10344-9
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
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.
引用
收藏
页码：1217 / 1236
页数：20
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