Abstract: The electric parameters in gas metal arc welding process are measured in real time. A Kohonen artificial neural network system is developed. Based on the probobility density distribution of welding voltage and the class frequency distribution of short-circuting time directly, the system could automatically recognize the various disturbances during welding process.

Key words: Process monitoring Artificial neural network GMAW