Predictive Analysis of Hot Stamping Presses

A major multinational company wants to determine when an element has been pressed properly by analysing data from the press’ auxiliary pressure pump and determine when it is showing anomalous behaviour that could lead to a failure. Solution Deploy an IoT solution for advanced signal processing and develop an application which, using AI techniques, implements a normality model capable of predicting when pressing cycles, when correct, are heading towards the boundary where they could cause errors or evidence of auxiliary pump failures.