The Ket4DF Workshop was organised in conjunction with CAiSE 2019 on the 4th of June in Rome. COMPOSITION contributed to the organisation of the workshop and participated with a presentation by Luigi Giugliano from LINKS: “Data Analytics towards Predictive Maintenance for Industrial Ovens – A case study based on data analysis of various sensors data”.
The first Key Enabling Technologies for Digital Factories (Ket4DF) Workshop was held as a side event of prestigious CAiSE 2019. COMPOSITION supported the organisation of the workshop from the conceptual phase, together with H2020 projects UPTIME and Z-BRE4K. The partners showcased the process for data acquisition and analysis for a use case implemented at the Boston Scientific premises in Clonmel, Ireland. There, acoustic sensors developed by Tyndall were installed in the ovens to measure changes to the sound emanating from the fans. The data was analysed by CERTH and LINKS using artificial neuron networks and numeric analysis for reliable results. “In this article we present the patterns in the data gathered by deployed acoustic sensors and by existing sensors, applying data analysis to create a case of predictive maintenance and failure recognition” says Luigi Giugliano, one of the authors.
