Research on Innovative Application of Energy Self-Powering Technology in Health Monitoring of Wind Turbine Tower Bolts

Main Article Content

W. W. Gao
C. Chen
Z. Duan
Z. S. Chu
M. H. Jin
P. P. Wang

Abstract

To reduce the operation and maintenance losses caused by critical component failures in wind turbines, this study proposes a piezoelectric-electromagnetic multi-source energy self-powering scheme for tower bolt health monitoring, providing an efficient solution for long-term autonomous sensing in intelligent electromechanical systems. Considering the growing demand for low-power electromagnetic energy harvesting and reliable wireless monitoring technologies, the bolt failure mechanism and tower operating environment are systematically analyzed to develop an innovative composite architecture integrating an arc-shaped piezoelectric harvesting unit with a micro electromagnetic energy acquisition module and a low-power energy management system. A three-level validation framework consisting of simulation, laboratory experiments, and engineering deployment is established to evaluate the proposed approach. Experimental results demonstrate that the device achieves an energy conversion efficiency of 28.7% under vibration frequencies of 0.1–5 Hz and continuously powers monitoring nodes for more than 30 days. Field deployment in a northern wind farm enables 72-hour early warning of bolt loosening and reduces the annual maintenance cost of a single turbine by approximately 32,000 yuan. The proposed self-powered monitoring framework provides a compact, long-life, and cost-effective solution for structural health monitoring of critical infrastructure and offers valuable technical references for electromagnetic energy harvesting, intelligent sensing networks, and wireless monitoring applications in advanced engineering systems.

Downloads

Download data is not yet available.

Article Details

How to Cite
Gao, W. W., Chen, C., Duan, Z., Chu, Z. S., Jin, M. H., & Wang, P. P. (2026). Research on Innovative Application of Energy Self-Powering Technology in Health Monitoring of Wind Turbine Tower Bolts. Advanced Electromagnetics, 15(3), 5803–5811. https://doi.org/10.7716/aem.v15i3.3633
Section
Research Articles

References

S. Li, Z. Xing, P. Fu, L. Huang, W. Wang, and X. Pei, “Research on Detection Methods and Prevention Measures for Structural Defects of Wind Turbine Towers,” Shanxi Architecture, vol. 51, no. 21, pp. 1-6, 2025, doi: 10.13719/j.cnki.1009-6825.2025.21.001.

View Article

K. Long, J. Jia, and J. Xiao, “Study on Fatigue Strength of Tower Bolts Based on Schmidt-Neuper Algorithm,” Acta Energiae Solaris Sinica, vol. 35, no. 10, pp. 1904-1910, 2014, doi: 10.3969/j.issn.0254-0096.2014.10.013.

View Article

P. Li, “Research on Damage Identification and Vibration Control of Wind Turbine Tower,” Qingdao University of Science and Technology, 2022, doi: 10.27264/d.cnki.gqdhc.2022.000803.

View Article

M. M. Mohsen, B. Arash, and B. Omid, “Damage detection in a 3D wind turbine tower by using extensive multilevel 2D wavelet decomposition and heat map, including soil-structure interaction,” Structures, vol. 31, pp. 842-861, 2021, doi: 10.1016/J.ISTRUC.2021.01.018.

View Article

H. Hu, X. Yin, B. Jiao, J. Liu, and Y. Jiang, “Review on Fault Monitoring and Diagnosis of High-Strength Bolts,” Journal of Shenyang Institute of Engineering (Natural Science Edition), vol. 21, no. 04, pp. 82-96, 2025, doi: 10.13888/j.cnki.jsie(ns).2025.04.014.

View Article

W. Gao, C. Chen, and Z. Chu, “Energy Self-powered Technology in Wind Turbine Tower Bolt Health Monitoring,” RE&PQJ, vol. 23, no. 3, pp. 63-77, 2025, doi: 10.52152/4163.

View Article

H. Wang, “Research on Self-Powered Wireless Sensor System for Power Line Condition Monitoring,” Hangzhou Dianzi University, 2019, doi: 10.27075/d.cnki.ghzdc.2019.000023.

View Article

J. Yu, “Research on Early Loosening Warning Monitoring Technology of Wind Turbine Tower Bolts Based on Optical Fiber Sensing,” Northeast Electric Power University, 2025, doi: 10.27008/d.cnki.gdbdc.2025.000145.

View Article

T. Wang, H. Wang, D. Yang, B. Tan, S. Deng, and G. Li, “Early bolt looseness monitoring using the leading waves energy in piezoelectric active sensing,” Smart Materials and Structures, vol. 33, no. 3, Art. no. 035033, 2024, doi: 10.1088/1361-665x/ad2603.

View Article

Ningxia Datang International Hongsibu New Energy Co and Ltd, “Intelligent Monitoring System for Wind Turbine Tower Bolts Based on Sensor Technology: 202510116281.5[P],” 2025-10-17.

Y. Cha, K. You, and W. Choi, “Vision-based detection of loosened bolts using the Hough transform and support vector machines,” Automation in Construction, vol. 71, pp. 181-188, 2016, doi: 10.1016/j.autcon.2016.06.008.

View Article

G. Tian, J. Zhang, and Z. Meng, “Passive Wireless RFID Sensors and Their Applications in Structural Health Monitoring,” Journal of Nanjing University of Aeronautics and Astronautics, vol. 49, no. 04, pp. 453-460, 2017, doi: 10.16356/j.1005-2615.2017.04.001.

View Article

X. Deng, “Fault Monitoring and Diagnosis System of Wind Turbine Blades Based on Wireless Sensor Network,” North China Electric Power University (Beijing), 2019, doi: 10.27140/d.cnki.ghbbu.2019.001626.

View Article

Y. Zhang and R. Zhang, “Application of Low Energy Consumption Wireless Sensor Network in Urban Rail Transit Health Monitoring,” Automation & Instrumentation, vol. (03), pp. 72-75, 2023, doi: 10.14016/j.cnki.1001-9227.2023.03.072.

View Article

L. Sun, “Design and Experimental Research of Wearable Motion Monitoring Device Based on Piezoelectric Self-Powering Technology,” Changchun University of Technology, 2025, doi: 10.27805/d.cnki.gccgy.2025.000169.

View Article

Z. Xu, X. Shan, and T. Xie, “Review on Research Status of Broadband Piezoelectric Vibration Energy Harvesters,” Journal of Vibration and Shock, vol. 37, no. 08, pp. 190-199+205, 2018, doi: 10.13465/j.cnki.jvs.2018.08.029.

View Article

Y. Wu, H. He, H. Jiang, Y. Li, and C. Niu, “Energy Harvesting Technology for New Power Sensors,” Journal of Shenyang University of Technology, vol. 46, no. 05, pp. 568-578, 2024, doi: 10.7688/j.issn.1000-1646.2024.05.07.

View Article

H. Wu, S. Qian, X. Hou, J. Zhao, J. Zhang, X. G. Song, et al., “A high-power and high-efficiency mini generator for scavenging energy from human foot movement,” Science China Technological Sciences, vol. 66, no. 12, pp. 3381-3392, 2023, doi: 10.1007/s11431-023-2531-9.

View Article

J. Ma, H. Liu, L. Zhao, L. Wei, W. Li, Y. Chang, et al., “Magnetostrictive bi-stable broadband energy harvester based on flytrap bionic mechanism,” Sensors and Actuators A: Physical, vol. 383, Art. no. 116186, 2025, doi: 10.1016/j.sna.2024.116186.

View Article

Y. Wang, C. Liu, Y. Wang, Z. Ma, K. Lei, P. Huang, et al., “Dual-mode energy harvester for transmission lines: integrating thermoelectric and triboelectric technology for self-powered vibration monitoring,” Sustainable Energy Technologies and Assessments, vol. 83, Art. no. 104618, 2025, doi: 10.1016/j.seta.2025.104618.

View Article

W. Peng, Q. Ni, R. Zhu, X. Fu, X. Zhu, C. Zhang, et al., “Triboelectric-electromagnetic hybrid wind energy harvesting and multifunctional sensing device for self-powered smart agricultural monitoring,” Nano Energy, vol. 131, Art. no. 110272, 2024, doi: 10.1016/j.nanoen.2024.110272.

View Article

Similar Articles

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 > >> 

You may also start an advanced similarity search for this article.