Predictive Asset Analytics

Predict and prevent

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AVEVA™ Predictive Analytics enables industrial companies to avoid costly unplanned downtime in a no-code environment. With more than 15 years of experience delivering AI-based predictive analytics at scale, AVEVA™ Predictive Analytics helps industrial users identify asset anomalies—weeks or months before failure. It can forecast time to failure, so maintenance priorities can be set, and it offers prescriptive advice, such as actions to remediate problems.

Industry leaders trust AVEVA™ Predictive Analytics to maximize asset reliability and prevent unplanned downtime

What if you combined the real-time and historical information from AVEVA™ PI Server with the artificial intelligence (AI) and machine learning capabilities of AVEVA Predictive Analytics?

How much more profit could you achieve for your business? How many critical asset failures could you prevent and how much would that improve the safety, reliability, and sustainability of your operations?

The combination of AVEVA Predictive Analytics with AVEVA PI System goes beyond condition monitoring. Condition-based maintenance (CBM) deploys user-defined rules to identify abnormal or out-of-range operating conditions whereas predictive analytics uses AI and machine learning to learn the unique operating signature of each asset while automatically adapting to changing load, ambient, and operational conditions for advanced notice of potential asset failures before they occur