ARULE is an innovative predictive analytics software program that interfaces with the Ridgetop’s advanced prognostic prediction engine called the Adaptive Remaining Useful Life Estimator (ARULE)

ARULE Webinar

In today’s fast-paced technological landscape, effective maintenance decisions are crucial for the longevity and reliability of complex systems, from consumer electronics to electric vehicles and grid energy storage. Join Ridgetop Group and Idaho National Laboratory to explore ARULE, a cutting-edge predictive analytics software application designed to process and analyze condition-based data (CBD) from intricate systems.

Key Benefits:

Advanced Predictive Analytics: ARULE utilizes over a decade of industry expertise to deliver powerful analytics and key prognostic estimates, including Remaining Useful Life (RUL), State-of-Health (SoH), and Probability of Failure (PH), enabling informed maintenance decisions.

Proven Industry Experience: Built on a foundation of extensive industry experience, ARULE leverages advanced algorithms and analytics to provide accurate predictions, ensuring system reliability and extending operational lifespan.

Comprehensive Data Processing: Discover how ARULE’s robust architecture processes and analyzes condition-based data (CBD) sets, offering deep insights into the health and performance of complex systems.

Versatile Application Across Industries: ARULE is designed to integrate seamlessly with a wide range of systems and industries, providing versatile solutions for maintenance and diagnostics across different platforms.

User-Friendly Interface: ARULE features an intuitive user interface, making it accessible to users across various technical backgrounds, and simplifying the process of analyzing data and generating prognostic estimates.

Speakers: Wyatt Pena, Ridgetop Group, Inc. Arsh Nadkarni, Ridgetop Group, Inc. 

When: August 28, 2024. Webinar is scheduled for 10AM PT (5PM UTC)

Who Should Attend:

    • Maintenance and reliability engineers

    • Battery manufacturers and researchers

    • Electric vehicle developers

    • Consumer electronics companies

    • Energy storage professionals

    • Anyone interested in predictive analytics and condition-based maintenance

Why Attend?

This webinar offers an in-depth exploration of ARULE, showcasing how this innovative tool can transform maintenance strategies through advanced predictive analytics. Our experts will guide you through the key features and applications of ARULE, providing valuable insights to enhance system reliability, safety, and efficiency.

Registration:

Don’t miss the chance to learn about the latest advancements in predictive maintenance and analytics for complex systems.

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