Speaker

Use of Multi-Sensors in Predictive Maintenance - Drill Tool Predictions using AI

In this talk, we will present a case study for drill tool wear prediction and discuss options to address the mentioned challenges. To do that, we will cover possible sensors, their positioning, requirements during the data acquisition phase, the feature selection, two options to model the problems at hand and the respective results. Special attention is paid on multi-sensor data acquisition and fusion of the sensor data. In addition, we cover aspects such as retrofitability.