Predictive Analytics

Benefits
Eliminate unplanned downtime	Deploy at scale	Gain qualitative insights
Identify asset anomalies weeks or months before failure	Quickly roll out and scale predictive maintenance programs, accelerating time to value	From analytics to actionable tasks to mitigate failure and capture best practices

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

Features
Anomaly detection	Fault diagnostics	Time to failure forecast
Get advanced alerts and utilize case management for knowledge capture and comprehensive reporting. Users without programming or data science knowledge can deploy, validate, and interpret the results of predictive models. Predefined templates accelerate configuration, deployment, and scale-up.	Use customized data and diagnostic tools to gain precise real-time insights, allowing users to perform timely, consistent analysis to quickly diagnose and solve problems. Determine how current performance matches asset fault conditions and identify individual sensors contributing to faults or inconsistencies.	Determine the urgency of repairs with time-to-failure forecasts that provide an estimated time until a failure is likely to occur. Users can plan repair and maintenance strategies that prioritize both safety and profitability, and determine whether to continue operations until scheduled maintenance or initiate an urgent shutdown.
Prescriptive guidance	Security	Automated asset model builder
Use prescriptive guidance and recommended actions from the AVEVA Asset Library, a resource containing more than 22,000 hours of experience, to remediate asset failures.Users can improve decision-making about asset maintenance and performance issues with predefined guidance, minimizing repair time.	Easily integrate AVEVA Predictive Analytics with existing enterprise security systems. The system supports single sign-on (SSO) authentication and gives administrators detailed user access rights management and editing privileges.	Include specific algorithms in the predictive maintenance loop using Python or similar language. Monitor all analytics in one application and complement custom algorithms using built-in model templates, data cleansing, alerting, and alert workflow, fault diagnostics, prescriptive actions, forecasting, and case library.