HPC for Machine Learning and Digital Twin Health
Expert: Kamer Kaya
Infrastructure Expert: Sefa Arslan
Erste Software provides solutions for the software needs of the customers and manages many different R&D projects focused on IoT. In this case study, the data they need to deal with are streaming from around 10 production lines, each having multiple, 5-10 machines, where each machine is equipped with tens of sensors producing hundreds of data points in every second. They try to forecast future data points with a relative error threshold between prediction and observation and find anomalous points occurring rarely in the data set by using the HPC environment. Following, the company recommends the best maintenance points by using an artificial neural network on the national HPC infrastructure TRUBA.
Please click here to view the results of the case study carried out with Erste Software.
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