Ronald Kok (UVS Industry Solutions) gives a lecture: "How do you deploy smart (me) sensors for predictive maintenance?" How do you make smart use of all data that you already measure or collect, consciously or some cases unconsciously. What measurements are being made now and how can you supplement these with other measurements so that you also get a correct story for maintenance? And how do you make useful data for predictive maintenance from the collected data? Do you want to start with Predictive Maintenance? Then you should not miss this lecture.
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