Condition monitoring of urban rail transit by local energy harvesting
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 remot...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2018-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718814469 |
| _version_ | 1797762880058163200 |
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| author | Mingyuan Gao Yunwu Li Jun Lu Yifeng Wang Ping Wang Li Wang |
| author_facet | Mingyuan Gao Yunwu Li Jun Lu Yifeng Wang Ping Wang Li Wang |
| author_sort | Mingyuan Gao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T19:34:40Z |
| format | Article |
| id | doaj.art-8d85c35dc0f7435585fb9a9ccda04209 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T19:34:40Z |
| publishDate | 2018-11-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-8d85c35dc0f7435585fb9a9ccda042092023-08-02T04:18:21ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772018-11-011410.1177/1550147718814469Condition monitoring of urban rail transit by local energy harvestingMingyuan Gao0Yunwu Li1Jun Lu2Yifeng Wang3Ping Wang4Li Wang5College of Engineering and Technology, Southwest University, Chongqing, ChinaCollege of Engineering and Technology, Southwest University, Chongqing, ChinaKey Laboratory of High-speed Railway Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, ChinaKey Laboratory of High-speed Railway Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, ChinaKey Laboratory of High-speed Railway Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, ChinaDepartment of Engineering Structures, Delft University of Technology, Delft, The NetherlandsThe 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.https://doi.org/10.1177/1550147718814469 |
| spellingShingle | Mingyuan Gao Yunwu Li Jun Lu Yifeng Wang Ping Wang Li Wang Condition monitoring of urban rail transit by local energy harvesting International Journal of Distributed Sensor Networks |
| title | Condition monitoring of urban rail transit by local energy harvesting |
| title_full | Condition monitoring of urban rail transit by local energy harvesting |
| title_fullStr | Condition monitoring of urban rail transit by local energy harvesting |
| title_full_unstemmed | Condition monitoring of urban rail transit by local energy harvesting |
| title_short | Condition monitoring of urban rail transit by local energy harvesting |
| title_sort | condition monitoring of urban rail transit by local energy harvesting |
| url | https://doi.org/10.1177/1550147718814469 |
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