Nowadays, the part program describes only the process itself and not the obtained performance. The operator monitors just some of the variables describing the actually obtained product and appropriately adjusts the values of the programmed variables. This adjustment is realised with a considerable delay and without an adequate fundament (many times even intuitively). Moreover, process monitoring currently follows only to notice the occurrence of perturbations and, hence, of deviations from process plan. As consequence, the performance in accomplishing the manufacturing task might be diminished due to an insufficient knowledge about both the system dynamics and the conditions in which the process is performed. Starting from these premises, the challenge addressed here is to rebuild at conceptual level the monitoring system such us the monitoring becomes holistic, this meaning evaluation & reveal of machining system current state & dynamics. In other words, the holistic monitoring concerns both the values of the variables describing the system state and the relations of causality between them. In this paper, the holistic monitoring is introduced through an illustrative sample. The monitoring variables and functions are defined and sampled.
Discussion: “Identification of Machining System Dynamics by Equation Error Minimization” (Srinivasan, K., and Nachtigal, C. L., 1978, ASME J. Eng. Ind., 100, pp. 332–339)
