Achieving Three Nines for Product Health Data Monitoring Systems
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Abstract
Effective data and health management are critical throughout the lifecycle of engineered systems. When implemented correctly, product health management tools and processes can help lower total product ownership costs, improve safety, maximize availability and utilization rates, thereby delivering value to system operators and maintainers. Central to achieving this capability is robust data management that includes data acquisition, secure transmission, efficient storage and timely processing. These steps ensure that health insights can be delivered to stakeholders in support of diagnostics, prognostics, and informed decision-making.
In sectors such as aerospace, defense and power utilities, the demand for high availability - targeting 99.9% uptime or “three nines” – places stringent requirements on product health monitoring systems. Hardware infrastructure, software, engineering processes and procedures are an integral part of achieving this target. This paper presents a focused exploration of the software, automation strategies, and best-in-class engineering processes that support high-reliability health data monitoring, with an emphasis on commercial aircraft engine applications. Drawing from Belcan Engineering’s experience, we highlight key software architectures, process improvements, and practices that enable scalable and maintainable solutions. Additionally, we discuss how early integration of health management capabilities into the development cycle enhances product value and reduces lifecycle costs. The insights presented are based on real-world implementations and are intended to guide practitioners seeking to build resilient, high-availability monitoring systems.
How to Cite
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Product health management, system availability, data management, data analytics, cloud services, quality assurance
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