Case Study: a large hydroelectric utility predicts rare hydro turbine failures with Avathon Industrial AI

A Avathon Case Study

Preview of the Large Hydroelectric Utility Case Study

Large Hydroelectric Utility - Customer Case Study

a large hydroelectric utility was burdened by false alarms from its existing monitoring systems and suffered an unplanned turbine outage with a $1.5 million impact. They engaged Avathon to determine if its Industrial AI platform could better analyze their data to predict these rare, costly failures and improve their maintenance processes.

Avathon used its Industrial AI platform to build an unsupervised machine learning model from two years of turbine data. The Avathon solution successfully identified the major failure with over one month of advanced warning and pinpointed nine key sensors that showed anomalous behavior. These results, which exceeded project goals, provided the utility with actionable insights for root cause analysis and led to a planned pilot program for four additional turbines.


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