Predict Equipment Failures
Before They Impact Production
Predict Equipment Failures
Before They Impact Production
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Before They Impact Production
Reduce unplanned downtime, optimize maintenance schedules, and improve factory performance through AI-powered predictive analytics
ADISRA KnowledgeView provides comprehensive visibility into asset risk through predictive analytics.
By analyzing operational data, the platform helps identify potential issues that may lead to downtime, outages, or equipment failures KnowledgeView supports assets across machines, production lines, and plants while helping organizations improve asset availability and maintenance efficiency.
Connectivity
Collect data directly from local or remote databases
Data can be residing in multiple data sources and ADISRA
KnowledgeView will consolidate the data into meaningful easy to understand visual information
Analyze
Proactively assess real-time data along with failure predictions and anomaly detection to project asset failure
Algorithms
System applies the latest predictive analytics algorithms based on both classical statistical approaches and novel machine learning tools to assess Survivability, Detect and Diagnosis Faults and calculate the Remaining Useful Lifetime (RUL) with a high degree of certainty based on equipment operation and historical data.
Visualize
Dashboards easily visualized on desktop, web browsers, tablets, and mobile devices
Security
Easy user configuration and identifying the specific information that they may view
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