Ridgetop’s Adaptive Remaining Useful Life Estimator (ARULE) is a powerful prognostic reasoner to determine the Remaining Useful Life (RUL), State-of-Health (SoH), and Prognostic Horizon (PH) of complex systems. Working from acquired sensor data, ARULE employs an advanced prediction method related to extended Kalman filtering (EKF) to produce new RUL, SoH, and PH estimates for each new sensor data point.

Join Ridgetop Group and Distinguished Engineer James Hofmeister, to find out more about this predictive analytics software package and how it can benefit your own unique CBM, PHM, and IVHM applications.

Webinar is scheduled for Thursday May 5, 2022 at 10:00 AM PT (5:00 PM UTC).

Missed the Webinar?

Check it out on our YouTube channel here or enter your contact information for a Ridgetop Group representative to reach out.