Under different operating conditions

the welding current and arc voltage output waveforms are required because the welding process requires different metal transfer modes. At the same time

the welding process affected by many factors to produce random

occasional information is also reflected in the welding current or voltage waveform data composition

so that the data information structure derived from various influencing factors in GMAW process is superimposed by a number of different natures of probability density functions. In the past

the expression of arc welding parameters was generally premised on the law of large numbers

and the statistical value of the data was calculated according to the general assumption of normal or approximate normal. However

this statistical hypothesis and its calculation method

the data information processing under GMAW conditions is only partially feasible

for the arc welding information based on wave control or pulse current mode is no longer valid in most operating conditions

not only will lead to parameter mean

heat input and other physical errors

but also make the arc welding process occasional outlier data and its hidden key information may not be known. On the analysis of the current and arc voltage data of GMAW processes

this paper explains the reasons for the different data distribution properties of the welding process

and puts forward the way to reconstruct the expression of welding parameters and improves the scientific and effectiveness of data statistics analysis in the current development of welding to automation and informationization

so as to prevent and avoid misreading and misleading the information understanding and application of arc welding process.