Self-powered wireless smart sensor based on maglev porous nanogenerator for train monitoring system

By Long Jin, Weili Deng, Y. Su, Zhong Xu, H. Meng, Bin Wang, Hepeng Zhang, Binbin Zhang, Lei Zhang, Xin-biao Xiao and 2 more. 2017

175 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/b3b0a1c58ecd4adf609d2a04cf24d1f10eeccfb5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Xinge Guo
2. Long Liu
3. Chengkuo Lee
4. Qijun Sun
5. Xiaole Cao
6. Yao Xiong
7. Jia Sun
8. Zhongqiang Wang

In Mechanical Engineering

1. Xinge Guo
2. Long Liu
3. Qijun Sun
4. Jia Sun
5. Binbin Zhang
6. Lei Zhang
7. Weiqing Yang
8. Chengkuo Lee

In Polymers and Plastics

1. Long Liu
2. Xinge Guo
3. Chengkuo Lee
4. Qijun Sun
5. Xiaole Cao
6. Yao Xiong
7. Jia Sun
8. Zhongqiang Wang

Citations in the corpus

• Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters (2021, methodology): “5(e), Jin et al. proposed a self-powered wireless smart sensor based on a maglev porous nanogenerator (MPNG) for a train monitoring system, where the MPNG array is uniformly attached on a bendable platform [131].”
• Nanogenerator as new energy technology for self-powered intelligent transportation system (2019, background): “reported a maglev porous nanogenerator (MPNG) to harvest vibration energy of bogie for a wireless smart sensor [116].”
• Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things (2022, background): “In the intelligent transportation applications, TENG-based self-powered sensors/systems can be placed on vehicles/ trains/ships or roads/bridges/tunnels, playing an important role in safety protection and early warning [50, 129, 137, 138, 145–147].”