The weld quality depends on many factors and parameters, Stability of the arc welding is one of the most important parameters to evaluating the weld quality. All these parameters have to be after the welding process (Off-line) examined. Since Welding sound signal is an important feedback, In this research it is used as a (On-line) Criterion to determine the arc stability evaluation. The purpose of this investigation is Arc stability evaluation in Gas Metal Arc Welding process, Using Acoustic data and Signal Processing. For this purpose, Acoustic signals is recorded in the laboratory during the welding process. Acoustic parameters of the process is extracted by the signal processing. Acoustic parameters of welding process are; The Average of Fast Fourier Transform – FFT coefficients, Standard deviation of FFT coefficients, Standard deviation of DCT coefficients and Standard deviation of DWT (Haar wavelet – level 2) coefficients. The selection process for this study is The gas-shielded welding process (MIG), One of the most commonly used types of welding. In this research, in order to evaluating stability of the arc welding, a criteria based on the Acoustic parameters from the signal processing is introduced. Finally, the relationship between the stability of the arc welding and acoustic parameters can be studied and after data analysis, the results are presented.

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