Early fault detection for reliable operation: condition-based monitoring of a hydropower turbine with Visplore

Author: Max Blöchle  – August 31, 2021

Errors can often be seen before they occur. The challenge is to recognize these signs in time while keeping the effort low. This article describes how a water turbine of Verbund Hydro Power GmbH can be monitored based on its expected oil temperature. All required steps – from preparing raw data to creating a prediction model – are described hands-on using Visplore. The innovation lies in the fact that, for the first time, the plant engineer is empowered to process the data without any programming and little data science knowledge. The result is that important domain knowledge is incorporated into the modeling and allows to create a prototype in a few hours!

Fig. 1: Monitor your systems with dynamic tolerance bands around the expected behavior to detect probable faults early