학술논문

Prognostics-Based Reliability Optimization for Consumer Healthcare Devices
Document Type
Periodical
Source
IEEE Access Access, IEEE. 10:126885-126891 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Reliability
Prognostics and health management
Monitoring
Medical services
Temperature sensors
Consumer electronics
Biomedical monitoring
Condition-based monitoring
consumer healthcare
prognostics
reliability
wearable device
Language
ISSN
2169-3536
Abstract
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.