Abstract
Nowadays, new challenges are arising in the multiple industrial sectors focused on the application or adaptation of the digitalized solution with a high grade of optimization in the process, traceability, information & knowledge generation, products personalization, connectivity, customer feedback, etc. The aim is to provide an excellent product or service, increasing your productivity, competitiveness and presence in the market. In particular, manufacturing processes adopt solution with higher sensor system levels based on Cyber-Physical System approaches to obtain process parameters and control machine tools, robots and industrial drives on the shop floor, plant or global production stations. The present article introduces a condition-based monitoring architecture to manage alarm and events based on global information captured by multiple sensors integrated a family of CNC machine tools. The architecture is divided in two modules: a local system embedded in each machine and a cloud as a service system to supervise the local accuracy based on global system knowledge. Finally, an industrial CPS study case based on a bearing benchmark is simulated, validating the local condition-based monitoring stability in function of the update provides by the global module.
Published Version
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