AVEVA Predictive Analytics, combined with the PI System, helps power plants boost ROI by predicting failures, optimizing maintenance, and improving efficiency. Using AI and machine learning, it analyzes real-time and historical data to detect anomalies early, forecast asset life, and provide prescriptive actions. This approach reduces downtime, avoids costly repairs, and supports regulatory compliance. Case studies, such as Duke Energy’s $34M savings, show its value in moving from reactive to preventative maintenance. The result is improved reliability, risk-based decision-making, and up to 20% OPEX reduction.

Join for free to read