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Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring

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  • Zhang, Liufeng
  • Zhang, Feibin
  • Qin, Zhaoye
  • Han, Qinkai
  • Wang, Tianyang
  • Chu, Fulei

Abstract

Rotational energy harvesting for powering low-power electronic devices and wireless sensors has attracted increasing attention in recent years. This paper proposes an energy harvester to scavenge rotational energy from rotating machines by installing an arc-shaped piezoelectric sheet between the outer race of rolling bearing and bearing pedestal. The proposed piezoelectric energy harvester cannot only supply power to sensors but also has the capability of bearing fault detection. The structural design and working principle are initially demonstrated, where an electromechanical coupling model is developed to explain the working principle of energy harvester. Then, a prototype of the energy harvester is fabricated and mounted on a rotor test rig, on which experiments are carried out to evaluate the output performance of energy harvester. The effects of rotating speed, rotor weight, shaft span and matched resistances on energy harvester performance are comprehensively evaluated. It is revealed that a single piezoelectric section of the energy harvester can generate RMS voltage of 25 V, and RMS power of 60–131 μW under the rotating speed range from 600 to 1200 r/min. Finally, the applications of the proposed energy harvester for bearing fault detection and self-powered wireless sensing are demonstrated to manifest its capability of bearing condition monitoring.

Suggested Citation

  • Zhang, Liufeng & Zhang, Feibin & Qin, Zhaoye & Han, Qinkai & Wang, Tianyang & Chu, Fulei, 2022. "Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring," Energy, Elsevier, vol. 238(PB).
  • Handle: RePEc:eee:energy:v:238:y:2022:i:pb:s0360544221020181
    DOI: 10.1016/j.energy.2021.121770
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    4. Li, Qi & Chen, Liang & Kong, Lin & Wang, Dong & Xia, Min & Shen, Changqing, 2023. "Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    5. Zhang, Bin & Zhou, Hanxiao & Zhao, Xiaolei & Gao, Jun & Zhou, Shengxi, 2023. "Design and experimental analysis of a piezoelectric energy harvester based on stacked piezoceramic for nonharmonic excitations," Energy, Elsevier, vol. 282(C).
    6. Zhang, Duo & Zhou, Fang-Ru & Tang, Yin-Ying & Tao, Zi-Yu & Peng, Qi-Yuan, 2023. "Optimization of the loading plan for a railway wagon from the perspectives of running safety and energy conservation," Energy, Elsevier, vol. 280(C).
    7. Masabi, Sayed Nahiyan & Fu, Hailing & Flint, James A. & Theodossiades, Stephanos, 2024. "A pendulum-based rotational energy harvester for self-powered monitoring of rotating systems in the era of industrial digitization," Applied Energy, Elsevier, vol. 365(C).
    8. Zhang, Li & Kan, Junwu & Lin, Shijie & Liao, Weilin & Yang, Jianwen & Liu, Panpan & Wang, Shuyun & Zhang, Zhonghua, 2024. "Design and performance evaluation of a pendulous piezoelectric rotational energy harvester through magnetic plucking of a fan-shaped hanging composite plate," Renewable Energy, Elsevier, vol. 222(C).
    9. Kan, Junwu & Zhang, Li & Wang, Shuyun & Lin, Shijie & Yang, Zemeng & Meng, Fanxu & Zhang, Zhonghua, 2023. "Design and characterization of a self-excited unibody piezoelectric energy harvester by utilizing rotationally induced pendulation of along-groove iron balls," Energy, Elsevier, vol. 285(C).
    10. Xu, Pengcheng & Shen, Hui & Li, Jing & Zhang, Chun & Guan, Dong, 2023. "Power bonding diagram model and parameter analysis of contact-separation mode triboelectric nanogenerator," Energy, Elsevier, vol. 279(C).
    11. Zhang, Duo & Tang, Yin-Ying & Peng, Qi-Yuan, 2023. "A novel approach for decreasing driving energy consumption during coasting and cruise for the railway vehicle," Energy, Elsevier, vol. 263(PA).
    12. Krzysztof Lalik & Jakub Kozak & Szymon Podlasek & Mateusz Kozek, 2022. "Self-Powered Wireless Sensor Matrix for Air Pollution Detection with a Neural Predictor," Energies, MDPI, vol. 15(6), pages 1-26, March.
    13. Miao, Gang & Fang, Shitong & Wang, Suo & Zhou, Shengxi, 2022. "A low-frequency rotational electromagnetic energy harvester using a magnetic plucking mechanism," Applied Energy, Elsevier, vol. 305(C).

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