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Hailing Fu

Loughborough University

Ashby Road

Nottingham NG1 4BU

Great Britain

  • Loughborough University

SCHOLARLY PAPERS

3

DOWNLOADS

161

TOTAL CITATIONS

2

Scholarly Papers (3)

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1.

A Pendulum-Based Rotational Energy Harvester for Self-Powered Monitoring of Rotating Systems in the Era of Industrial Digitization

Number of pages: 29 Posted: 11 Jan 2024
Sayed Nahiyan Masabi, Hailing Fu, James A. Flint and Stephanos Theodossiades
Loughborough University, Loughborough University, Loughborough University and Loughborough University
Downloads 107 (654,668)
Citation 2

Abstract:

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Rotational energy harvesting, Self-powered sensing, Power generation, Condition monitoring, Rotating systems.

2.

Dual-magnet rolling pendulum-based bistable broadband energy harvesting from low-frequency railway vibration for self-powered wireless sensing

Downloads 31 (1,500,778)

Dual-magnet rolling pendulum-based bistable broadband energy harvesting from low-frequency railway vibration for self-powered wireless sensing

Number of pages: 34 Posted: 26 May 2026
Mengzhou Liu, Qin Yong, Hailing Fu, Dilong Tu, Ying Yan, Xiaoqing Chen, Hongyuan Dong and Yanzi Fu
Beijing Jiaotong University, Beijing Jiaotong University, Loughborough University, Beijing Jiaotong University, affiliation not provided to SSRN, Beijing Jiaotong University, Beijing Jiaotong University and Beijing Jiaotong University
Downloads 18 (1,559,710)

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Bistable, Dual-magnet rolling pendulum, Broadband, Railway vibration energy harvesting, Self-powered sensing

Dual-magnet rolling pendulum-based bistable broadband energy harvesting from low-frequency railway vibration for self-powered wireless sensing

Number of pages: 22 Posted: 10 Jun 2026
Mengzhou Liu, Qin Yong, Hailing Fu, Dilong Tu, Ying Yan, Xiaoqing Cheng, Yanzi Fu and Hongyuan Dong
Beijing Jiaotong University, Beijing Jiaotong University, Loughborough University, Beijing Jiaotong University, affiliation not provided to SSRN, Beijing Jiaotong University, Beijing Jiaotong University and Beijing Jiaotong University
Downloads 13

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3.

A physics-informed dual-stream convolutional neural network method for in-situ continuous bolt preload monitoring and detection

Number of pages: 16 Posted: 13 Feb 2026
Luo Wang, Hu Sun, Shiyu Huo, Xiaolin Yang, Yingwu Li, Pawel Malinowski, Fang Deng and Hailing Fu
affiliation not provided to SSRN, Xiamen University, affiliation not provided to SSRN, affiliation not provided to SSRN, Imperial College London, The Szewalski Institute of Fluid-Flow Machinery, Polish Academy of Sciences, affiliation not provided to SSRN and Loughborough University
Downloads 23 (1,459,862)

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