Webinar
Join us for an in-depth exploration of advanced fault detection techniques that leverage state estimators and digital twin technology to predict and prevent costly equipment failures before they occur. This technical webinar will demonstrate how mathematical state estimation methods can detect system anomalies and faults in real-time, helping organizations transition from reactive to predictive maintenance strategies.
What You'll Learn
- State Estimators Fundamentals
- Fault Detection Approaches
- Digital Twin Implementation
Key outcomes:
- Prevent costly downtime and catastrophic failures
- Implement predictive maintenance strategies
- Transition from reactive to proactive system monitoring
Speakers

Dr. Ranjan Anantharaman
Sales Engineer
Ranjan is a sales engineer at JuliaHub, where he helps customers leverage modern engineering workflows and scientific machine learning using JuliaSim. He has a PhD in Mathematics & Computational Science from MIT, where his thesis work centered on surrogate modeling of dynamical systems.