Hydro Turbines are complex machines with multiple transient conditions at start-up. Advanced Pattern Recognition is key in determining the roles that load, net head, cooling water temperature, and air cooler fouling play in day-to-day operations. Calculating the Generator’s Asset Health Score (AHS) for trending helps users determine the overall asset’s health over time. In one case, an abnormal vibration increase was correlated with an AHS reduction of approximately 10% before corrective measures were implemented.
Want to learn more? Call Mesa Associates and ask about our Artificial Intelligence and Machine Learning hydro generation applications today!