On-line quality monitoring in short-circuit gas metal arc welding

TLDR: In this article, the repeated sequential probability ratio test (SPRT) was used to detect changes in weld quality automatically and on-line, and the results obtained from the algorithm show that it is possible to detect sudden minor changes in the monitored test statistic, wherein it is shown that the variance decreases when the welding process is not operating under optimal conditions.

Abstract: This paper addresses the problems involved in the automatic monitoring of the weld quality produced by robotized short-arc welding. A simple statistical change detection algorithm for the weld quality, the repeated Sequential Probability Ratio Test (SPRT), was used. The algorithm may similarly be viewed as a cumulative sum (CUSUM) type test, and is well-suited to detecting sudden minor changes in the monitored test statistic. The test statistic is based on the variance of the weld voltage, wherein it will be shown that the variance decreases when the welding process is not operating under optimal conditions. The performance of the algorithm is assessed through the use of experimental data. The results obtained from the algorithm show that it is possible to detect changes in weld quality automatically and on-line.