Print Email Facebook Twitter Condition monitoring of urban rail transit by local energy harvesting Title Condition monitoring of urban rail transit by local energy harvesting Author Gao, Mingyuan (Southwest University, Chongqing) Li, Yunwu (Southwest University, Chongqing) Lu, Jun (Southwest Jiaotong University) Wang, Yifeng (Southwest Jiaotong University) Wang, Ping (Southwest Jiaotong University) Wang, L. (TU Delft Pavement Engineering) Date 2018 Abstract The goal of this study is to develop a vibration-based electromagnetic energy harvesting prototype that provides power to rail-side monitoring equipment and sensors by collecting wheel-rail vibration energy when the train travels. This technology helps power rail–side equipment in off-grid and remote areas. This article introduces the principle, modeling, and experimental test of the system, including (1) an electromagnetic energy harvesting prototype with DC-DC boost converter and lithium battery charge management function, (2) wireless sensor nodes integrated with accelerometer and temperature/humidity sensor, and (3) a vehicle-track interaction model that considers wheel out-of-roundness. Field test results, power consumption, Littlewood–Paley wavelet transform method, and feasibility analysis are reported. An application case of the technology is introduced: the sensor nodes of the wireless sensor network are powered by the electromagnetic energy harvester and lithium battery with DC-DC boost converter, thereby continuously monitoring the railway track state; based on the Littlewood–Paley wavelet analysis of measured railway track acceleration data, the abnormal signal caused by the wheel out-of-roundness can be detected. Subject Condition monitoringenergy harvestingmagnetic levitationout-of-roundnessurban rail transit To reference this document use: http://resolver.tudelft.nl/uuid:cc05c3e9-8aea-458a-b43f-cda166a1f5ef DOI https://doi.org/10.1177/1550147718814469 ISSN 1550-1329 Source International Journal of Distributed Sensor Networks, 14 (11) Part of collection Institutional Repository Document type journal article Rights © 2018 Mingyuan Gao, Yunwu Li, Jun Lu, Yifeng Wang, Ping Wang, L. Wang Files PDF 1550147718814469.pdf 5.33 MB Close viewer /islandora/object/uuid:cc05c3e9-8aea-458a-b43f-cda166a1f5ef/datastream/OBJ/view