Development and verification of anomaly detection monitoring system application to small hydropower generation

Abstract

We created an abnormality detection monitoring system through CFD and experiment using testing equipment to solve problems caused by flow channel blockage, which has become a problem in small-scale hydropower generation, which has been focused on in terms of carbon neutrality in recent years. In this study, we applied the system to an actual machine, confirmed its effectiveness, and conducted detailed analysis of the measurement data. Although the built system was unable to detect the extremely small signs of anomaly observed during this measurement, by conducting detailed analysis, we were able to confirm the differences caused by these signs of abnormality. At last, we conducted improvement of our system using python, and we confirmed that we can detect the abnormal sign observed at this hydroelectric power plant.