ARULE™ is a modular predictive analytics engine designed for real-time system health estimation. It uses adaptive Kalman filtering and dynamic stress modeling to deliver accurate Remaining Useful Life (RUL), State of Health (SoH), and Prognostic Horizon (PH) predictions—fully integrable into onboard, edge, or cloud-based systems across aerospace, defense, and industrial domains.
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Service: Reliability Engineering & Embedded PHM Deployment Support
Ridgetop Group offers specialized Reliability Engineering and Prognostic Health Management (PHM) services to help customers fully leverage the capabilities of ARULE™ in real-world applications. These services are tailored to support the successful deployment of embedded prognostic algorithms and the development of high-fidelity health monitoring solutions for complex systems.
As part of this offering, Ridgetop conducts comprehensive Failure Modes and Effects Analysis (FMEA) studies to identify critical failure pathways and degradation mechanisms within your system architecture. Leveraging decades of PHM expertise, our engineers work closely with your team to define optimal sensor strategies, model failure progression signatures, and implement ARULE’s adaptive algorithms into embedded environments—including edge processors, SoCs, and smart controllers.
These services are scoped and quoted on a per-project basis, with engagement levels customized to meet your technical and operational goals—from early-stage prototyping to fully integrated, field-deployable solutions.
Contact us to discuss your application and receive a tailored proposal.
520.742.3300
3580 W. Ina Rd. Tucson, Arizona
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