Fei Zhong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Fei Zhong has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Da Che
School of Energy and Power Engineering, Changchun Institute of Technology, Changchun 130012, China
1 shared publication - Futian Geng
School of Energy and Power Engineering, Changchun Institute of Technology, Changchun 130012, China
1 shared publication - Guanzheng Xu
School of Energy and Power Engineering, Changchun Institute of Technology, Changchun 130012, China
1 shared publication Jian Zhang
School of Electrical Engineering and Information Technology Changchun Institute of Technology Changchun China
1 shared publication- Jianmei Chen
School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China
1 shared publication Lejin Meng
School of Electrical Engineering and Information Technology Changchun Institute of Technology Changchun China
1 shared publication
Latest Publications
- Open Access
Magnetic Levitation Triboelectric Nanogenerator for Vibration Monitoring of Hydroelectric Units
To address dependence on external power and the limited capability of conventional hydroelectric units to detect low-amplitude vibrations, this work introduces a self-contained, highly accurate monitoring device. The design incorporates a magnetically levitated configuration, with triboelectric films placed on both the upper and lower faces of the floating magnet. Under minor oscillations, magnetic repulsion increases the relative displacement between the friction layers, producing a substantial voltage that permits low-level vibration sensing. A surrounding induction coil responds to the levitated pole’s vertical motion; this motion intersects the magnetic flux, generating a current that provides stable energy for wireless data transmission. Experimental outcomes confirm a detection limit of 0.1 mm. At an amplitude of 1 mm and a load of 1000 Ω, the system achieves a maximum output of 9 mW and a power density of 1.587 W/m2, ensuring reliable power. This configuration provides a new pathway for monitoring vibrations in hydroelectric turbine generators.
Open AccessMagnetic Levitation Triboelectric Nanogenerator for Vibration Monitoring of Hydroelectric Units
To address dependence on external power and the limited capability of conventional hydroelectric units to detect low-amplitude vibrations, this work introduces a self-contained, highly accurate monitoring device. The design incorporates a magnetically levitated configuration, with triboelectric films placed on both the upper and lower faces of the floating magnet. Under minor oscillations, magnetic repulsion increases the relative displacement between the friction layers, producing a substantial voltage that permits low-level vibration sensing. A surrounding induction coil responds to the levitated pole’s vertical motion; this motion intersects the magnetic flux, generating a current that provides stable energy for wireless data transmission. Experimental outcomes confirm a detection limit of 0.1 mm. At an amplitude of 1 mm and a load of 1000 Ω, the system achieves a maximum output of 9 mW and a power density of 1.587 W/m2, ensuring reliable power. This configuration provides a new pathway for monitoring vibrations in hydroelectric turbine generators.
- 22 January 2026
- Published by Wiley in Energy Technology
- Vol. 14 (1)
Self‐Powered Sensor for Flow Velocity Measurements Based on Triboelectric Nanogenerators
Under the increasing urgency for global water resource exploration, conventional flow velocity measurement instruments are inadequate to meet the demands of long‐term monitoring in complex environments. This article proposes a self‐powered aquatic flow velocity sensor based on triboelectric nanogenerator (TENG) technology, enabling the detection of water flow velocities. The signal processing circuit designed in this article can step down the high voltage signals generated by the TENG, exceeding 400 V, to approximately 1.7 V, while maintaining the ability to accurately reflect variations in flow velocity. In addressing the issue of flow velocity signal jitter in complex aquatic environments, data processing was performed using a Time‐Frequency Cooperative Adaptive Edge Detection Algorithm. Post‐processing results showed a deviation of 0 Hz in the primary frequency component compared to the original signal, with a spectral root mean square error of 0.058, indicating accurate reconstruction of flow velocity information. The sensor's effective measurement range spans from 0.1 to 2.4 m/s, adequately fulfilling the flow velocity monitoring requirements across a variety of common aquatic environments. This article offers a low‐cost, self‐powered innovative solution for dynamic water resource monitoring, demonstrating broad application prospects in hydraulic engineering, hydrological monitoring, and related fields.
- 22 January 2026
- Published by Wiley in Energy Technology
- Vol. 14 (1)
Self‐Powered Sensor for Flow Velocity Measurements Based on Triboelectric Nanogenerators
Under the increasing urgency for global water resource exploration, conventional flow velocity measurement instruments are inadequate to meet the demands of long‐term monitoring in complex environments. This article proposes a self‐powered aquatic flow velocity sensor based on triboelectric nanogenerator (TENG) technology, enabling the detection of water flow velocities. The signal processing circuit designed in this article can step down the high voltage signals generated by the TENG, exceeding 400 V, to approximately 1.7 V, while maintaining the ability to accurately reflect variations in flow velocity. In addressing the issue of flow velocity signal jitter in complex aquatic environments, data processing was performed using a Time‐Frequency Cooperative Adaptive Edge Detection Algorithm. Post‐processing results showed a deviation of 0 Hz in the primary frequency component compared to the original signal, with a spectral root mean square error of 0.058, indicating accurate reconstruction of flow velocity information. The sensor's effective measurement range spans from 0.1 to 2.4 m/s, adequately fulfilling the flow velocity monitoring requirements across a variety of common aquatic environments. This article offers a low‐cost, self‐powered innovative solution for dynamic water resource monitoring, demonstrating broad application prospects in hydraulic engineering, hydrological monitoring, and related fields.