KASEM platform and Knowledge Model for Machine-Tool

Within Power-OM solution, KASEM takes place as a remote solution, providing fleet-wide apabilities. From the local health assessment module developed in the project, two groups of data are made available to the remote server. The first group corresponds to the fingerprint analysis that is condensed in a small amount of characteristics features. For the second group of data, KASEM acquires data from the working conditions of the machines. In parallel, a knowledge model has been developed within the knowledge-based system of KASEM. It allows formalizing expert Machine Tool knowledge, in order to make it “operable” together with data coming from the fingerprint and machine operation. The knowledge model integrates machine’s functional description as well as failure mode analysis (FMEA). This way, by coupling knowledge and data, KASEM is providing highly added-value information allowing to share and capitalize experience at the fleet level. In practical terms, the data processed in KASEM allow generating several indicators summarizing the machine’s operating conditions. From there, one can access fleet-wide data, specific alert events, from early detection of malfunction (fig. 2) as well as overall fleet summary. Each event integrates a dedicated lifecycle workflow, in which diagnostics tool allows retrieving fleet-wide past diagnosis and solutions.