eMaintenance Platform for Performing Data Fusion Mutation on Machine Tools

Condition monitoring (CM) plays a relevant role in production systems, for example, with machine tools. To obtain an accurate result when analyzing the condition of a machine tool and its components, it is necessary to integrate data from different sources. The types of data include: internal data from the Computer Numerical Control (CNC), external sensors, and value-added information coming from the study of the system’s behavior. Data from disparate sources can be integrated using several preand post-processing methods that provide partial or total results in different formats. The use of an eMaintenance platform seems a reasonable and easy solution when faced with a challenge of such dimensions. This paper proposes an architecture able to cope with the challenge.