Real-time sensing and monitoring in robotic gas metal arc welding

Article From iop.org
12/14/2007

Brief Summary:

A real-time monitoring system is developed for detecting abnormal conditions in robotic gas metal arc welding.
The butt-joint test pieces with simulated large gaps are used to intentionally introduce step disturbance of welding conditions.
During the welding process, the welding voltage and current signals are sampled.
Processed on-line to extract the characteristic information reflecting the process quality.
After the first statistical processing, it is found that seven statistical parameters (the mean, standard deviation, coefficient of variance and kurtosis of welding voltage.
The mean, coefficient of variance and kurtosis of welding current) show variations during the step disturbance.

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