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Yifeng Wang

Researcher at Southwest Jiaotong University

Publications -  24
Citations -  425

Yifeng Wang is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Energy harvesting & Electricity generation. The author has an hindex of 7, co-authored 17 publications receiving 197 citations. Previous affiliations of Yifeng Wang include Chinese Ministry of Education.

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Experimental investigation of non-linear multi-stable electromagnetic-induction energy harvesting mechanism by magnetic levitation oscillation

TL;DR: In this article, the authors presented a multi-stable electromagnetic-induction energy harvesting (MEH) system by magnetic levitation oscillation, which has a nonlinear restoring force and a multiwell restoring force potential, offering an improvement upon their linear counterparts by broadening its frequency response.
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Self-Powered ZigBee Wireless Sensor Nodes for Railway Condition Monitoring

TL;DR: The authors extend this application through introducing a self-powered ZigBee wireless sensor node that is powered by the magnetic levitation energy harvester and communicated wirelessly with the ZigBee coordinator.
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Harvesting thermoelectric energy from railway track

TL;DR: Wang et al. as discussed by the authors developed a prototype for harvesting thermoelectric energy from railway track, which helps power rail-side sensors in off-grid and remote areas without depleting natural resources.
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Modeling and experimental verification of a fractional damping quad-stable energy harvesting system for use in wireless sensor networks

TL;DR: In this article, the theoretical modeling and experimental verification of a quad-stable non-linear electromagnetic-induction energy harvesting (QEH) system is presented, where the suspended magnet of the QEH system consists of two aluminum caps that are circumferentially filled with copper beads for smooth axial movement.
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Condition monitoring of urban rail transit by local energy harvesting

TL;DR: 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.