Real-time monitoring during the weld process
As a committed pioneer in the area of Industry 4.0, Grenzebach is already making use of smart data analysis processes that enable accurate forecasting. And for this purpose, they use a tailored Industrial Analytics solution from Weidmüller. “Our Analytics software, which has been customised to meet the needs of Grenzebach, compares the forces recorded at the sensors during the weld process with an ideal reference data record. As soon as the system detects a deviation that lies outside the defined parameters, the machine operator is notified and immediately knows that something isn’t right with the weld process. This eliminates the need for manual checks of every weld seam,” explains Dr Daniel Kress, Data Scientist responsible for the project at Weidmüller.
Working together with Grenzebach engineers, Weidmüller analysed over 100 weld seams for their relevance and evaluated them using smart data analysis processes, in order to create the reference models. A significant element of the analyses was provided by the know-how coming from Grenzebach. The Weidmüller software may well be able to predict a fault with a certain degree of probability, but to do so it always needs to have been classified beforehand. Only Grenzebach can determine whether an anomaly should actually be classified as a critical error or not.