Authors: A. Caggiano, R. Teti
Abstract: A cloud manufacturing framework is developed to realize on-line smart process monitoring in the machining of difficult-to-machine materials. The computing and service resources in the cloud are connected to the machine tool realising a cyber-physical system. A multi-sensor system is employed to collect in real time multiple sensor signals during machining. Advanced signal processing and cognitive decision making activities are assigned to the cloud server to exploit the cloud capabilities according to a service oriented approach. The cloud service offers knowledgebased diagnosis on tool conditions through cognitive paradigms able to learn from sensorial data. Based on the cloud diagnosis, the local server decides on the corrective action to be taken and sends the proper command to the machine tool control.
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