The Adaptive Remaining Useful Life Estimator (ARULE) is a sophisticated predictive analytics platform engineered to deliver real-time system health estimations. Using innovative methods like adaptive Kalman filtering, ARULE provides precise predictions of remaining useful life (RUL), state of health (SoH), and prognostic horizon (PH) across various domains, such as aerospace and defense. The system's predictive capabilities are made possible by its ability to transform raw data into actionable insights.
ARULE is designed to operate efficiently under diverse conditions, accommodating both low-noise and high-noise environments with minimal data points. It aligns with the standards of IEEE 1856-2017 regarding Prognostics and Health Management (PHM), making it versatile across multiple environments, whether integrated into software, firmware, or hardware.
The platform's open API and simplified modeling flexibility allows for rapid integration into contemporary health-aware systems. As a result, ARULE empowers industries to transition from reactive maintenance approaches to more predictive and preemptive strategies, reducing costs and enhancing system reliability.
