F. Petré, F. Bouwens, S. Gillijns, F. Massé, M. Engels, B. Gyselinckx, Kris Vanstechelman, Christophe Thomas
{"title":"Wireless vibration monitoring on human machine operator","authors":"F. Petré, F. Bouwens, S. Gillijns, F. Massé, M. Engels, B. Gyselinckx, Kris Vanstechelman, Christophe Thomas","doi":"10.1109/SCVT.2010.5720456","DOIUrl":null,"url":null,"abstract":"Human machine operators are often subject to extreme shocks and vibrations while operating production machines and vehicles. To assess the impact on perceived comfort objectively, a wireless vibration monitoring system is needed that measures whole-body vibrations directly on the human body. To this end, we have developed a wireless body area network consisting of low-power vibration sensor nodes that have a small and ergonomic form factor and that are easy to install. Furthermore, we have validated the BAN along with the necessary post-processing of the raw vibration signals on a real industrial case, i.e. the driver of a forklift. Our system proves to be instrumental in optimizing critical tuning parameters of a machine, exemplified by the transmission control parameters of a forklift.","PeriodicalId":344975,"journal":{"name":"2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCVT.2010.5720456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Human machine operators are often subject to extreme shocks and vibrations while operating production machines and vehicles. To assess the impact on perceived comfort objectively, a wireless vibration monitoring system is needed that measures whole-body vibrations directly on the human body. To this end, we have developed a wireless body area network consisting of low-power vibration sensor nodes that have a small and ergonomic form factor and that are easy to install. Furthermore, we have validated the BAN along with the necessary post-processing of the raw vibration signals on a real industrial case, i.e. the driver of a forklift. Our system proves to be instrumental in optimizing critical tuning parameters of a machine, exemplified by the transmission control parameters of a forklift.