Beyond OEE Monitoring: AI-Powered Root Cause Analysis with TDengine
TDengine
01:07:49
Most manufacturing teams track Overall Equipment Effectiveness (OEE), but few can act on it effectively. While a low OEE score highlights a problem, it rarely explains why it’s happening or how to fix it. Without deeper analysis, OEE remains a passive metric rather than a driver of operational improvement.
In this workshop, we’ll explore how TDengine helps transform OEE into an actionable diagnostic tool. You’ll learn how to:
- Create visualizations, analyses, and events to monitor key metrics
- Compute real-time OEE with our formula builder
- Perform anomaly detection with TDgpt
- Use our AI-powered root cause analysis to resolve issues
Join us Wednesday, May 6 to see how OEE can evolve from simple monitoring into a powerful foundation for faster troubleshooting, reduced downtime, and continuous improvement.
Speaker
Arun Arulraj
Solutions Architect
Pursuing a Master’s Degree in Computer Science from the Georgia Institute of Technology and holding dual Bachelor’s degrees in Computer Science and Chemistry, Arun brings expertise in artificial intelligence, machine learning, and industrial data solutions to drive TDengine’s solution engineering efforts. Prior to joining TDengine, he worked as a Software Engineer at C3 AI and Meta, and served as Head of AI at Soundromeda, where he led the development of advanced AI-driven applications. He is currently based in California, USA.
Beyond OEE Monitoring: AI-Powered Root Cause Analysis with TDengine
01:07:49