IoT connected device for vibration analysis and measurement

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openAccess

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Journal Title

Journal ISSN

Volume Title

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Authors

Koene, Ivar
Klar, Ville
Viitala, Raine

Date

2020-04-22

Major/Subject

Mcode

Degree programme

Language

en

Pages

15

Series

HardwareX, Volume 7

Abstract

Accelerometers are widely used in applications, such as condition measurement, motion tracking, and vehicle monitoring. Most handheld smart devices, such as smart phones and tablets, employ accelerometers for motion tracking. The size constraints of such devices has provided the impetus to develop precise, affordable, compact, and power-efficient accelerometers. Microelectromechanical systems (MEMS) accelerometers meet these strict requirements, thus explaining their wide adoption in the smart device market. The increasing cost-performance ratio, particularly regarding accuracy and bandwidth, of modern MEMS accelerometers enables their use in demanding measurement applications. This research introduces an open source battery-powered Internet of Things MEMS accelerometer called Memsio. Memsio is a versatile wireless sensor unit that can be deployed to measure a wide range of different motions. It is operated from a web browser, thus rendering it remotely accessible via smart phone, tablet, or computer. Furthermore, Memsio offers high-speed motion data acquisition capabilities and can store extended measurement periods lasting dozens of minutes; in addition, its wireless and portable nature eases integration in condition monitoring applications. The study presented reports on the construction and functionality of Memsio. Additionally, the functionality of Memsio is demonstrated in the measurement of translational movement of a linear actuator and the vibrations of large rotating machinery.

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Keywords

Accelerometer, IoT, MEMS, Monitoring, Vibration

Other note

Citation

Koene, I, Klar, V & Viitala, R 2020, ' IoT connected device for vibration analysis and measurement ', HardwareX, vol. 7, e00109 . https://doi.org/10.1016/j.ohx.2020.e00109