Artificial Neural Network based monitoring of Weld Quality in Pulsed Metal Inert Gas Welding using Wavelet Packets of Current Signal

Abstract

Pulsed metal inert gas welding (P-MIGW) is often used to improve weld quality using an advanced spray metal transfer with less heat input to the weld. It is a nonlinear process with various uncertainties like contamination. Thus, the necessity for online welding process monitoring has increased in modern manufacturing environment. Though, statistical… (More)

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Cite this paper

@inproceedings{Srivastava2017ArtificialNN, title={Artificial Neural Network based monitoring of Weld Quality in Pulsed Metal Inert Gas Welding using Wavelet Packets of Current Signal}, author={Shashank Srivastava and Mr.Samuel Debbarma}, year={2017} }