On-line monitoring of penetration status based on characteristic analysis of arc sound signal in MAG welding

Based on acquisition and processing of audible arc sound signal in the process of MIC welding,an online test method of penetration status was proposed.Arc sound signal un-der typical penetration status in the flat butt welding process with spray transfer was acquired and analyzed in real time.11 charac-teristic parameters were extracted to characterize welding penetra-tion status by wavelet denoising and short-time windowing tech-nology.PCA parameter was synchronized based on high-dimen-sion characteristic vector,8 dimensions characteristic vector with most information of penetration status was re-synthesized and taken as input parameters,four penetratioa statuses were taken as export parameters,and network models of BP and RBF to i-dentify the penetration status were established.The application of test model shows that the two networks can realize the online recognition of penetration status.The accuracy of RBF network reaches 91.25%,which is 6.25% more than that of BP.