Anomaly Detection

  • AI models to identify anomalous behavior in the asset
  • Identify key contributing parameters viz. process as well as mechanical that cause the anomaly
  • Minimal false positives and false negatives result in accurate anomaly detection and alerts
  • Alerts tracked and reported at an asset or component level

Root Cause Analysis using Generative AI

  • AI Agents that understand the symptoms and assist in identifying root cause of the issue
  • FMEA, maintenance history and client’s documents based Generative AI models for accurate failure mode/ cause analysis
  • Identify component level cause(s) to fix the root cause
Anomaly Detection
Forecasting Models

Forecasting Models

  • AI/ ML models to accurately forecast Time to Failure of the asset
  • Forecast remaining time to fail helps operator and technician to take appropriate action to manage the repair or failure of equipment
  • Track at the asset level and component level

What-If Analysis and Recommendations

  • GenAI based Conversational interface for What-If analysis and perform parameter adjustments to operate asset for longer time and prolong its life
  • Generative AI based actionable recommendations to fix the issue
  • Integrated into work order management system
What-If Analysis and Recommendations
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