Predict and prevent
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.
The right features for every industrial operation
Every industrial company has unique needs. With a broad feature set, your organization can tailor AVEVA™ Predictive Analytics to maximize return on investment.
Get advanced alert notifications 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. The software’s 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 of alert conditions to quickly diagnose and remediate problems. Determine how current performance matches asset fault conditions and identify which individual sensors are contributing to faults. Use sensor preprocessing to detect sensor problems and inconsistencies and improve data quality.
Time to failure forecast provides an estimated time until a failure is likely to occur, so users can determine urgency and plan repair and maintenance strategies that prioritize both safety and profitability. With actionable insights into operations and maintenance, users can determine whether to continue operations until scheduled maintenance or initiate an urgent shutdown.
Use prescriptive guidance and recommended actions from the AVEVA Asset Library, a resource containing more than 22,000 man-hours of experience, to remediate asset failures. Prescriptive actions empower the workforce to improve decision-making about asset maintenance and performance issues. Users can take action using predefined guidance and minimize repair time by ensuring teams investigate, manage, and resolve issues accordingly.
Quickly and easily roll out and scale predictive maintenance programs. Create a predictive model once and replicate the model across all assets of the same type—accelerating time to value.
Native integration with AVEVA PI System allows you to combine real-time and historical information with artificial intelligence (AI) and machine learning (ML) capabilities. With native integration, users can build on completed work and view real-time results in AVEVA PI System, so they can make faster, more informed decisions.
Data scientists can 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. Use built-in integration with AVEVA PI System to leverage real-time and historical data.
Easily monitor abnormal conditions during transient periods, such as start-ups and shutdowns, and automatically identify and compare previous transient events from the historian.
Use AVEVA’s remote or on-site monitoring and diagnostic services to learn how to deploy, maintain, and monitor models. Or, let AVEVA manage all of your monitoring needs. The AVEVA team of expert engineers is here every step of the way to offer helpful insights and best practices.
AVEVA Predictive Analytics integrates with existing enterprise security systems. The system supports single sign-on (SSO) authentication and allows administrators to granularly manage user access rights and editing privileges.
Customer success stories
Learn how our customers are finding success with AVEVA™ Predictive Analytics
Ontario Power Generation
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