How can we use high-quality vibration readings not only for condition monitoring but also to optimize production processes? Machine learning and Industry 4.0 are important concepts in order to increase production flow and to ensure product quality. In this presentation, HD technology has been used to extract information from critical machines in the mining and pulp and paper sectors. By using vibration data in a non-conventional way, it is possible to extract parameters important for the understanding of machine behavior. These parameters are exported via a Rest API interface for the machine learning process itself.
The presentation will introduce HD condition monitoring technology, the Rest API interface, and show practical results.
Tim Sundström, born 1964 in Sweden, has a M.Sc. degree in Applied Physics and Electrical Engineering from Linköping University, Sweden. For over twenty years, he has been specializing in electronics development and has held managerial positions in the field since 1992. In 2001, he joined SPM Instrument as head of Research and Development, where he has been deeply involved in SPM HD development and field evaluations.