IEEE Access (Jan 2022)

Prognostics-Based Reliability Optimization for Consumer Healthcare Devices

  • Bernard Fong,
  • A. C. M. Fong,
  • G. Y. Hong

DOI
https://doi.org/10.1109/ACCESS.2022.3226582
Journal volume & issue
Vol. 10
pp. 126885 – 126891

Abstract

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This paper discusses the technical details of adopting prognostics and health management (PHM) implementation in consumer healthcare wearable devices. Consumer healthcare appliances differ from medical devices in that they do not undergo the Food and Drug Administration (FDA) approval process. The main objective of deriving a reliability assessment and optimization scheme using prognostics and health management methodology is to utilize condition-based monitoring for preventive maintenance and minimize warranty repairs. The design and implementation of reliability optimization methodologies include physics-of-failure based self-cognizant prognostics for operational reliability assessment and resource management approach that takes into consideration the usage profile of individual devices through utilizing fused data from various operational parameters such as device temperature, shock and vibration.

Keywords