The Adaptive Remaining Useful Life Estimator (ARULE) stands as a sophisticated predictive analytics engine employed for determining the prognostic health of complex systems. Capable of calculating key metrics such as Remaining Useful Life (RUL), State-of-Health (SoH), and Prognostic Horizon (PH), ARULE leverages diverse condition-based feature data to provide timely maintenance alerts. This function allows for precise scheduling of services before reaching critical deterioration thresholds.
ARULE’s utility extends across various applications, utilizing an intuitive graphical user interface for easy processing and visualization of prognostic estimates. It integrates condition-based data streams, further supported by user-defined parameters, to output insightful predictions. This versatility enables ARULE to address electrical, mechanical, and electro-mechanical fatigue both efficiently and accurately.
By associating with Ridgetop's Sentinel Suite, ARULE gains additional capabilities, particularly in complex systems such as power supply and battery management systems, gearbox and actuator control systems, and industrial automation. These features make ARULE an invaluable component for industries seeking innovative and reliable health management solutions.
