2011
DOI: 10.1007/978-3-642-23583-2_4
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A Study on the Wireless Onboard Monitoring System for Railroad Vehicle Axle Bearings Using the SAW Sensor

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Cited by 5 publications
(3 citation statements)
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“…Communication issues involving passengers' trains are analyzed by a few papers, and mainly in connection with WiFi services. The only academic works concerning WSNs applied on board the train for condition based monitoring purposes relate to freight trains, often composed of open wagons where propagation issues loose of importance and are not as challenging as in passenger trains [2]. Instead, [3] is relevant since it shares the same objective that has inspired our work, that is, the use of WSN technology with sensor nodes deployed on board passenger trains to continuously monitor the bearings.…”
Section: State Of the Artmentioning
confidence: 99%
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“…Communication issues involving passengers' trains are analyzed by a few papers, and mainly in connection with WiFi services. The only academic works concerning WSNs applied on board the train for condition based monitoring purposes relate to freight trains, often composed of open wagons where propagation issues loose of importance and are not as challenging as in passenger trains [2]. Instead, [3] is relevant since it shares the same objective that has inspired our work, that is, the use of WSN technology with sensor nodes deployed on board passenger trains to continuously monitor the bearings.…”
Section: State Of the Artmentioning
confidence: 99%
“…To the best of our knowledge, most of the academic papers dealing with wireless monitoring systems applied to railway scenarios focus on radio communications along the tracks [1,2] while just few consider wireless transmission systems inside trains. The interest is usually devoted to the communication between a mobile element, the train, and a static one, the ground.…”
Section: State Of the Artmentioning
confidence: 99%
“…Previously, when only a simple threshold was used, alarms caused by these other sources of heat may have been misinterpreted as false positives, due to the lack of detailed information [98]. Rabatel et al [102], [103] and Carrascal et al [30] used MEMS temperature sensors; Kim et al [66] used surface acoustic wave (SAW) sensors mounted on the train's bogies to detect overheated wheel bearings and Grudén et al [55] used temperature sensors to analyze wheel performance. Grudén et al [55] used three sensors to measure bogie temperatures and a fourth sensor to measure the air temperature to establish the ambient conditions.…”
Section: B Movable Monitoringmentioning
confidence: 99%