Determining the Health of Rotating Machines from their Vibrations
Combient is a joint venture with a mission to accelerate digital transformation within some of the largest traditional enterprises in Sweden and Finland. A major part of this work is carried out by our analytics team, consisting of a dozen data scientists, and has included predictive maintenance churn prediction, natural language processing and more. In this session, we will share challenges, methods and preliminary results from an ongoing project that Combient is carrying out together with SKF. We will describe a machine learning approach for determining the health state of rotating systems. The results are based on vibration data collected from 30,000 machines since 2001.
