AVEVA™ Predictive Analytics
formerly Prism
Software that uses data analysis and machine learning to detect equipment issues and prevent failures. It can monitor various types of assets, integrate with existing systems, and provide alerts and diagnostics. It integrates with AVEVA PI System and CONNECT, a leading industrial intelligence platform, to enable real-time decisions as well as predictive maintenance.
Features ✨️
Avoid costly unplanned downtime in a no-code environment. Relatively straight-forward data cleaning and model creation in the studio. User friendly web client.
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
Visualize trends, forecasts, faults, user cases and asst information directly in a web browser.
Speed
Fault Diagnosis
Anomaly detection
Web Client
Failure Forecast
Custom Algoritms
The system calculates the deviation between Forecasted data and Real data to highlight faults. It then presents Fault Signatures to outline the bigest contributors to the fault.
Configure alerts to receive early warnings when asset
performance deviates from set parameters.
Use built-in templates, sensor pre-processing, data cleansing, and more to customize algorithms. Or, give data scientists the tools they need to create fully custom algorithms using Python.