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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1155/2016/1740854</dc:identifier><dc:language>eng</dc:language><dc:creator>Luque, P.</dc:creator><dc:creator>Mantaras, D.A.</dc:creator><dc:creator>Rodriguez, A.</dc:creator><dc:creator>Malón, H.</dc:creator><dc:creator>Castejón, L.</dc:creator><dc:creator>Jalón, J.G.</dc:creator><dc:creator>Lopez, J.L.</dc:creator><dc:creator>Martin, A.</dc:creator><dc:title>Low-Cost Monitoring System of Sensors for Evaluating Dynamic Solicitations of Semitrailer Structure</dc:title><dc:identifier>ART-2016-102660</dc:identifier><dc:description>Analysis of the fatigue life of a semitrailer structure necessitates identification of the loads and dynamic solicitations in the structure. These forces can be introduced in computer simulation software (multibody + finite element) for analysing the response of different design solutions to them.These numerical models must be validated and some parameters need to be measured directly in a field test with real vehicles under various driving conditions. In this study, a low-cost monitoring system is developed for application to a real fleet of semitrailers. According to the definition of the numerical model, the guidance of a virtual vehicle is defined by the three-dimensional kinematics of the kingpin. For characterisation of these movements, a monitoring system having a lowcost inertial measurement unit (IMU) and global positioning system (GPS) antennas is developed with different configurations to enable analysis of the best cost-benefit (result accuracy) solution, and an extended Kalman filter (EKF) that characterises the kinematic guidance of the kingpin is proposed. A semitrailer was equipped with the experimental low-cost monitoring systemand high-precision sensors (IMU, GPS) in order to validate the results obtained by the experimental low-cost monitoring system and the inertial-extended Kalman filter developed.The validated system has applicability in the low-cost monitoring of a fleet of real vehicles.</dc:description><dc:date>2016</dc:date><dc:source>http://zaguan.unizar.es/record/63436</dc:source><dc:doi>10.1155/2016/1740854</dc:doi><dc:identifier>http://zaguan.unizar.es/record/63436</dc:identifier><dc:identifier>oai:zaguan.unizar.es:63436</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/TRA2012-38826</dc:relation><dc:identifier.citation>Journal of Sensors 2016 (2016), 1740854 [15 pp]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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