IoT connected device for vibration analysis and measurement

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKoene, Ivaren_US
dc.contributor.authorKlar, Villeen_US
dc.contributor.authorViitala, Raineen_US
dc.contributor.departmentDepartment of Energy and Mechanical Engineeringen
dc.date.accessioned2020-05-07T12:41:20Z
dc.date.available2020-05-07T12:41:20Z
dc.date.issued2020-04-22en_US
dc.description.abstractAccelerometers 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.en
dc.description.versionPeer revieweden
dc.format.extent15
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKoene, 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.e00109en
dc.identifier.doi10.1016/j.ohx.2020.e00109en_US
dc.identifier.issn2468-0672
dc.identifier.otherPURE UUID: 95f47f2a-ff3c-4e7a-8ff7-a228fddaa1a0en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/95f47f2a-ff3c-4e7a-8ff7-a228fddaa1a0en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85083814726&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/42677035/ENG_Koene_et_al_IoT_connected_device_HardwareX.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/44056
dc.identifier.urnURN:NBN:fi:aalto-202005073036
dc.language.isoenen
dc.publisherElsevier
dc.relation.ispartofseriesHardwareXen
dc.relation.ispartofseriesVolume 7en
dc.rightsopenAccessen
dc.subject.keywordAccelerometeren_US
dc.subject.keywordIoTen_US
dc.subject.keywordMEMSen_US
dc.subject.keywordMonitoringen_US
dc.subject.keywordVibrationen_US
dc.titleIoT connected device for vibration analysis and measurementen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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