IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v376y2024ipas0306261924015897.html
   My bibliography  Save this article

Research on a self-powered rolling bearing fault diagnosis method with a piezoelectric generator for self-sensing

Author

Listed:
  • Shi, Runye
  • Yan, Zhengshun
  • Fang, Shitong
  • Qiao, Zijian
  • Xiao, Shiyi
  • Lei, Jiaoyu
  • Wang, Zhouzhou
  • Xu, Bin
  • Lai, Zhihui

Abstract

The self-powered fault diagnosis methods provide a new idea to realize fault diagnosis without using wired sensors or battery-supported sensors. However, current self-powered fault diagnosis methods mainly depend on self-powered sensors, most of which may destroy the original structure of mechanical parts or contain connected energy harvesters and sensors, resulting in reduced reliability and stability. In this paper, a self-powered rolling bearing fault diagnosis method with a piezoelectric generator (PEG) for self-sensing is proposed. The PEG can be simply installed without destroying the bearing structure, and its electrical outputs excited by the mechanical vibrations can be further used for fault diagnosis. The energy conversion mechanism of a conventional monostable PEG and the basic knowledge of the convolutional neural network (CNN) model are first introduced, based on which the self-powered fault diagnosis approach is proposed. Experimental work is conducted to identify the parameters of the PEG's governing equation and verify its effectiveness. The responses of a PEG installed onto a rolling bearing experimental table are further measured and analyzed. Finally, the CNN model is trained based on the electrical outputs of the PEG under different installation positions, different rotation speeds and different healthy statuses of the bearings. The research results show that the average classification accuracies of this method for rotational speeds of 1200 rpm, 3000 rpm and 4800 rpm can achieve 88.389%, 98.99% and 98.431%, respectively, which are quite feasible in practical applications. This work shows a totally new idea of adopting a vibration energy harvester as a self-sensing device to achieve self-powered fault diagnosis, which has wide application potential in the future.

Suggested Citation

  • Shi, Runye & Yan, Zhengshun & Fang, Shitong & Qiao, Zijian & Xiao, Shiyi & Lei, Jiaoyu & Wang, Zhouzhou & Xu, Bin & Lai, Zhihui, 2024. "Research on a self-powered rolling bearing fault diagnosis method with a piezoelectric generator for self-sensing," Applied Energy, Elsevier, vol. 376(PA).
  • Handle: RePEc:eee:appene:v:376:y:2024:i:pa:s0306261924015897
    DOI: 10.1016/j.apenergy.2024.124206
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924015897
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.124206?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hu, Guobiao & Zhao, Chaoyang & Yang, Yaowen & Li, Xin & Liang, Junrui, 2022. "Triboelectric energy harvesting using an origami-inspired structure," Applied Energy, Elsevier, vol. 306(PB).
    2. Zou, Donglin & Liu, Gaoyu & Rao, Zhushi & Tan, Ting & Zhang, Wenming & Liao, Wei-Hsin, 2021. "Design of a multi-stable piezoelectric energy harvester with programmable equilibrium point configurations," Applied Energy, Elsevier, vol. 302(C).
    3. 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).
    4. Shan, Xiaobiao & Tian, Haigang & Chen, Danpeng & Xie, Tao, 2019. "A curved panel energy harvester for aeroelastic vibration," Applied Energy, Elsevier, vol. 249(C), pages 58-66.
    5. 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).
    6. Maharjan, Pukar & Bhatta, Trilochan & Salauddin Rasel, M. & Salauddin, Md. & Toyabur Rahman, M. & Park, Jae Yeong, 2019. "High-performance cycloid inspired wearable electromagnetic energy harvester for scavenging human motion energy," Applied Energy, Elsevier, vol. 256(C).
    7. Fang, Shitong & Miao, Gang & Chen, Keyu & Xing, Juntong & Zhou, Shengxi & Yang, Zhichun & Liao, Wei-Hsin, 2022. "Broadband energy harvester for low-frequency rotations utilizing centrifugal softening piezoelectric beam array," Energy, Elsevier, vol. 241(C).
    8. Ilyas, Mohammad Adnan & Swingler, Jonathan, 2015. "Piezoelectric energy harvesting from raindrop impacts," Energy, Elsevier, vol. 90(P1), pages 796-806.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zou, Hong-Xiang & Zhu, Quan-Wei & He, Jia-Yi & Zhao, Lin-Chuan & Wei, Ke-Xiang & Zhang, Wen-Ming & Du, Rong-Hua & Liu, Sheng, 2024. "Energy harvesting floor using sustained-release regulation mechanism for self-powered traffic management," Applied Energy, Elsevier, vol. 353(PA).
    2. Dang, Shuai & Hou, Chengwei & Shan, Xiaobiao & Sui, Guangdong & Zhang, Xiaofan, 2024. "A novel T-shaped beam bistable piezoelectric energy harvester with a moving magnet," Energy, Elsevier, vol. 300(C).
    3. Chen, Keyu & Fang, Shitong & Lai, Zhihui & Cao, Junyi & Liao, Wei-Hsin, 2024. "A plucking rotational energy harvester with tapered thickness and auxetic structures for increasing power output," Applied Energy, Elsevier, vol. 357(C).
    4. Zhang, Ying & Wang, Wei & Xie, Junxiao & Lei, Yaguo & Cao, Junyi & Xu, Ye & Bader, Sebastian & Bowen, Chris & Oelmann, Bengt, 2022. "Enhanced variable reluctance energy harvesting for self-powered monitoring," Applied Energy, Elsevier, vol. 321(C).
    5. Fang, Shitong & Chen, Keyu & Lai, Zhihui & Zhou, Shengxi & Liao, Wei-Hsin, 2023. "Analysis and experiment of auxetic centrifugal softening impact energy harvesting from ultra-low-frequency rotational excitations," Applied Energy, Elsevier, vol. 331(C).
    6. Tian, Haigang & Shan, Xiaobiao & Li, Xia & Wang, Junlei, 2023. "Enhanced airfoil-based flutter piezoelectric energy harvester via coupling magnetic force," Applied Energy, Elsevier, vol. 340(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. 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).
    9. Zhou, Xu & Wang, Kangda & Li, Siyu & Wang, Yadong & Sun, Daoyu & Wang, Longlong & He, Zhizhu & Tang, Wei & Liu, Huicong & Jin, Xiaoping & Li, Zhen, 2024. "An ultra-compact lightweight electromagnetic generator enhanced with Halbach magnet array and printed triphase windings," Applied Energy, Elsevier, vol. 353(PA).
    10. Helseth, L.E. & Guo, X.D., 2016. "Fluorinated ethylene propylene thin film for water droplet energy harvesting," Renewable Energy, Elsevier, vol. 99(C), pages 845-851.
    11. Zhang, L.B. & Dai, H.L. & Abdelkefi, A. & Lin, S.X. & Wang, L., 2019. "Theoretical modeling, wind tunnel measurements, and realistic environment testing of galloping-based electromagnetic energy harvesters," Applied Energy, Elsevier, vol. 254(C).
    12. Liu, Mingyi & Qian, Feng & Mi, Jia & Zuo, Lei, 2022. "Biomechanical energy harvesting for wearable and mobile devices: State-of-the-art and future directions," Applied Energy, Elsevier, vol. 321(C).
    13. Alluri, Nagamalleswara Rao & Selvarajan, Sophia & Chandrasekhar, Arunkumar & Saravanakumar, Balasubramaniam & Lee, Gae Myoung & Jeong, Ji Hyun & Kim, Sang-Jae, 2017. "Worm structure piezoelectric energy harvester using ionotropic gelation of barium titanate-calcium alginate composite," Energy, Elsevier, vol. 118(C), pages 1146-1155.
    14. Toyabur Rahman, M. & Sohel Rana, SM & Salauddin, Md. & Maharjan, Pukar & Bhatta, Trilochan & Kim, Hyunsik & Cho, Hyunok & Park, Jae Yeong, 2020. "A highly miniaturized freestanding kinetic-impact-based non-resonant hybridized electromagnetic-triboelectric nanogenerator for human induced vibrations harvesting," Applied Energy, Elsevier, vol. 279(C).
    15. Aleksandrova, M.P. & Tsanev, T.D. & Pandiev, I.M. & Dobrikov, G.H., 2020. "Study of piezoelectric behaviour of sputtered KNbO3 nanocoatings for flexible energy harvesting," Energy, Elsevier, vol. 205(C).
    16. Poblete, A. & Ruiz, R.O. & Jia, G., 2024. "Bayesian model class selection of nonlinear constitutive relationships for piezoelectric energy harvesters with small set of observations," Energy, Elsevier, vol. 301(C).
    17. Sun, Ruqi & Ma, He & Zhou, Shengxi & Li, Zhongjie & Cheng, Li, 2024. "A direction-adaptive ultra-low frequency energy harvester with an aligning turntable," Energy, Elsevier, vol. 311(C).
    18. Xiaobiao Shan & Haigang Tian & Han Cao & Tao Xie, 2020. "Enhancing Performance of a Piezoelectric Energy Harvester System for Concurrent Flutter and Vortex-Induced Vibration," Energies, MDPI, vol. 13(12), pages 1-19, June.
    19. 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).
    20. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:376:y:2024:i:pa:s0306261924015897. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.