Webinar
Fault Detection using State Estimators and Digital Twins with Dyad
Webinar
Fault Detection using State Estimators and Digital Twins with Dyad

Event Date & Time
Oct 23, 2025, 1:00 PM
Oct 23, 2025, 1:00 PM
EDT
Speakers
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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 is a Sales Engineer at JuliaHub Inc, specializing in JuliaSim's modeling and simulation offerings. He has a PhD in Mathematics & Computational Science from MIT and his expertise lies in shaping the future of simulation workflows with scientific machine learning. Ranjan collaborates with engineering firms, leveraging his background in surrogate modeling for high-dimensional dynamical systems developed at JuliaLab (MIT CSAIL). He has actively contributed to the Julia community, chairing JuliaCon since 2020.
Speakers
Dr. Ranjan Anantharaman is a Sales Engineer at JuliaHub Inc, specializing in JuliaSim's modeling and simulation offerings. He has a PhD in Mathematics & Computational Science from MIT and his expertise lies in shaping the future of simulation workflows with scientific machine learning. Ranjan collaborates with engineering firms, leveraging his background in surrogate modeling for high-dimensional dynamical systems developed at JuliaLab (MIT CSAIL). He has actively contributed to the Julia community, chairing JuliaCon since 2020.
Speakers
Dr. Ranjan Anantharaman is a Sales Engineer at JuliaHub Inc, specializing in JuliaSim's modeling and simulation offerings. He has a PhD in Mathematics & Computational Science from MIT and his expertise lies in shaping the future of simulation workflows with scientific machine learning. Ranjan collaborates with engineering firms, leveraging his background in surrogate modeling for high-dimensional dynamical systems developed at JuliaLab (MIT CSAIL). He has actively contributed to the Julia community, chairing JuliaCon since 2020.
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Oct 23, 2025, 1:00 PM
America/New_York
Sign Up
Register below to get event details sent to you.
We’ll use your information to host this webinar and send essential communications. You can also choose to receive our newsletter and updates—just check the box above. You can unsubscribe anytime. Read more in our Privacy Policy.
Oct 23, 2025, 1:00 PM
America/New_York
Sign Up
Register below to get event details sent to you.
We’ll use your information to host this webinar and send essential communications. You can also choose to receive our newsletter and updates—just check the box above. You can unsubscribe anytime. Read more in our Privacy Policy.
Oct 23, 2025, 1:00 PM
America/New_York