Abstract—Nowadays, the number of connected IoT devices grows to nearly 12.5 billion globally. IoT devices contain sensors, actuators, and mini processors that self-report in realtime, can be used in home automation, medical and healthcare, transportation, manufacturing, agriculture and more. Assessing reliability for this type of devices is problematicdue to
the computing reliability indicators, failure rate, mean time between failure and the need of a huge amount of information
about the device and its components (operating parameters, environment, quality, etc.). This paper presents a method to
assess an IoT Parkinson’s patient spoon with respect to reliability. With these indicators determined, it is easy to create
a more dependable product by experimenting with alternative solutions and scheduling maintenance procedures.
Index Terms—reliability, reliability assessment, Parkinson's disease, failure rate, mean time between failures (MTBF)
Marius Misaroș, Dan-Ioan Goța, Ovidiu-Petru Stan, and Cristian-Liviu Miclea are with the Automation Department, Faculty of Automatics and Computers, Technical University of Cluj Napoca, Cluj-Napoca 400114, Romania.
Ștefan-Dragoș Cîrstea is with the Electrical Power Systems and Management Department, Faculty of Electrical Engineering, Technical
University of Cluj Napoca, Cluj-Napoca 400114, Romania.
Correspondence: marius.misaros@aut.utc
Cite: Marius Misaroș, Ștefan-Dragoș Cîrstea, Dan-Ioan Goța, Ovidiu-Petru Stan, and Cristian-Liviu Miclea, "Reliability Assessment for an IoT Device. Use Case: Parkinson’s Patient Spoon," International Journal of Modeling and Optimization. vol. 13, no. 1, pp. 24-31, 2023.
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