SmarTEG: An autonomous wireless sensor node for high accuracy accelerometer-based monitoring

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dc.contributor.authorMagno, Michele
dc.contributor.authorSigrist, Lukas
dc.contributor.authorGomez, Andres
dc.contributor.authorCavigelli, Lukas
dc.contributor.authorLibri, Antonio
dc.contributor.authorPopovici, Emanuel M.
dc.contributor.authorBenini, Luca
dc.date.accessioned2019-09-11T08:22:42Z
dc.date.available2019-09-11T08:22:42Z
dc.date.issued2019-06-19
dc.description.abstractWe report on a self-sustainable, wireless accelerometer-based system for wear detection in a band saw blade. Due to the combination of low power hardware design, thermal energy harvesting with a small thermoelectric generator (TEG), an ultra-low power wake-up radio, power management and the low complexity algorithm implemented, our solution works perpetually while also achieving high accuracy. The onboard algorithm processes sensor data, extracts features, performs the classification needed for the blade’s wear detection, and sends the report wirelessly. Experimental results in a real-world deployment scenario demonstrate that its accuracy is comparable to state-of-the-art algorithms executed on a PC and show the energy-neutrality of the solution using a small thermoelectric generator to harvest energy. The impact of various low-power techniques implemented on the node is analyzed, highlighting the benefits of onboard processing, the nano-power wake-up radio, and the combination of harvesting and low power design. Finally, accurate in-field energy intake measurements, coupled with simulations, demonstrate that the proposed approach is energy autonomous and can work perpetually.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid2747en
dc.identifier.citationMagno, M., Sigrist, L., Gomez, A., Cavigelli, L., Libri, A., Popovici, E. and Benini, L. (2019) 'SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring', Sensors, 19(12), 2747. (17pp.) DOI: 10.3390/s19122747en
dc.identifier.doi10.3390/s19122747en
dc.identifier.eissn1424-8220
dc.identifier.endpage17en
dc.identifier.issued12en
dc.identifier.journaltitleSensorsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/8511
dc.identifier.volume19en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.urihttps://www.mdpi.com/1424-8220/19/12/2747/htm
dc.rights©2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectWSNen
dc.subjectIWSNen
dc.subjectData processingen
dc.subjectWear detectionen
dc.subjectLow power wireless solutionen
dc.subjectEnergy harvestingen
dc.subjectEnergy neutral systemsen
dc.titleSmarTEG: An autonomous wireless sensor node for high accuracy accelerometer-based monitoringen
dc.typeArticle (peer-reviewed)en
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