IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i11p1963-d978900.html
   My bibliography  Save this article

Vibration Characteristics of Corn Combine Harvester with the Time-Varying Mass System under Non-Stationary Random Vibration

Author

Listed:
  • Yanchun Yao

    (School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
    Shandong Provincial Key Laboratory of Dry Farming Machinery and Information, Zibo 255000, China
    Agricultural Equipment Research Institute of Shandong Wuzheng Group, Rizhao 276825, China)

  • Xiaoke Li

    (School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
    Shandong Provincial Key Laboratory of Dry Farming Machinery and Information, Zibo 255000, China)

  • Zihan Yang

    (Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China
    Luoyang Smart Agricultural Equipment Institute Co., Ltd., Luoyang 471023, China)

  • Liang Li

    (School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
    Shandong Provincial Key Laboratory of Dry Farming Machinery and Information, Zibo 255000, China)

  • Duanyang Geng

    (School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
    Shandong Provincial Key Laboratory of Dry Farming Machinery and Information, Zibo 255000, China)

  • Peng Huang

    (School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
    Shandong Provincial Key Laboratory of Dry Farming Machinery and Information, Zibo 255000, China)

  • Yongsheng Li

    (Agricultural Equipment Research Institute of Shandong Wuzheng Group, Rizhao 276825, China)

  • Zhenghe Song

    (Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China)

Abstract

In field harvesting conditions, the non-stationary random vibration characteristics of the harvester are rarely considered, and the results of vibration frequency calculated by different time–frequency transformation methods are different. In this paper, the harvester’s vibration characteristics under the time-varying mass were studied, and the correlation between vibration frequency and modal frequency was analyzed. Firstly, under the conditions of time-varying mass (field harvesting conditions) and non-time-varying mass (empty running condition), the non-stationarity characteristics of vibration signals at 16 measurement points of a combined corn harvester frame were studied. Then, fast Fourier transform (FFT), short-time Fourier transform (STFT), and continuous wavelet transform (CWT) were used to calculate the vibration frequency distribution characteristics of the corn harvester. Finally, based on the EFDD (enhanced frequency domain decomposition) algorithm, the correlation between the primary vibration frequency and the operating mode frequency is studied. The results show that the mean, variance, and maximum difference of the vibration amplitude under harvesting conditions (mass time-varying system) are 0.10, 26.5, and 1.0, respectively, at different harvesting periods (0~10 s, 10~20 s, 20~30 s). The harvesting conditions’ vibration signals conform to the characteristics of non-stationary randomness. The FFT algorithm is used to obtain more dense vibration frequencies, while the frequencies based on STFT and CWT algorithms are sparse. The correlation between the FFT method and the EFDD algorithm is 0.98, and the correlation between the STFT, CWT, and the EFDD algorithm is 0.99 and 0.98. Therefore, the primary frequency of the STFT methods is closer to the modal frequency. Our research laid the foundation for further study and application of mass time-varying combined harvester system non-stationary random vibration modal frequency identification and vibration control.

Suggested Citation

  • Yanchun Yao & Xiaoke Li & Zihan Yang & Liang Li & Duanyang Geng & Peng Huang & Yongsheng Li & Zhenghe Song, 2022. "Vibration Characteristics of Corn Combine Harvester with the Time-Varying Mass System under Non-Stationary Random Vibration," Agriculture, MDPI, vol. 12(11), pages 1-16, November.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:11:p:1963-:d:978900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/11/1963/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/11/1963/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kezhou Chen & Xing Liu & Shiteng Jin & Longfei Li & Xin He & Tao Wang & Guopeng Mi & Yinggang Shi & Wei Li, 2022. "Design of and Experiments with an Automatic Cuttage Device for an Arch Shed Pillar with Force Feedback," Agriculture, MDPI, vol. 12(6), pages 1-19, June.
    2. Delin Wu & Enlong Zhao & Dong Fang & Shan Jiang & Cheng Wu & Weiwei Wang & Rongyan Wang, 2022. "Determination of Vibration Picking Parameters of Camellia oleifera Fruit Based on Acceleration and Strain Response of Branches," Agriculture, MDPI, vol. 12(8), pages 1-18, August.
    3. Jian Zhao & Satoru Tsuchikawa & Te Ma & Guangrui Hu & Yun Chen & Zhiwei Wang & Qingyu Chen & Zening Gao & Jun Chen, 2021. "Modal Analysis and Experiment of a Lycium barbarum L. Shrub for Efficient Vibration Harvesting of Fruit," Agriculture, MDPI, vol. 11(6), pages 1-14, June.
    4. Guangchao Zhan & Lina Ma & Wangyuan Zong & Wei Liu & Dinglin Deng & Guodang Lian, 2022. "Study on the Vibration Characteristics of Rape Plants Based on High-Speed Photography and Image Recognition," Agriculture, MDPI, vol. 12(5), pages 1-14, May.
    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. Guangchao Zhan & Lina Ma & Wangyuan Zong & Wei Liu & Dinglin Deng & Guodang Lian, 2022. "Study on the Vibration Characteristics of Rape Plants Based on High-Speed Photography and Image Recognition," Agriculture, MDPI, vol. 12(5), pages 1-14, May.
    2. Yaohua Hu & Junzhe Feng & Yichen Qiao & Chenhao Yu & Wenkai Luo & Kaili Zhang & Runfeng Liu & Runzhe Han, 2023. "Research and Validation of Vibratory Harvesting Device for Red Jujube Based on ADAMS and ANSYS," Agriculture, MDPI, vol. 13(7), pages 1-23, June.
    3. Siqi Wang & Daode Zhang & Xinyu Hu & Rui Lu, 2024. "Finite Element Simulations and Experimental Analysis for Efficient Mugwort Harvesting," Agriculture, MDPI, vol. 14(11), pages 1-13, October.
    4. Delin Wu & Enlong Zhao & Dong Fang & Shan Jiang & Cheng Wu & Weiwei Wang & Rongyan Wang, 2022. "Determination of Vibration Picking Parameters of Camellia oleifera Fruit Based on Acceleration and Strain Response of Branches," Agriculture, MDPI, vol. 12(8), pages 1-18, August.
    5. Wei Liu & Lina Ma & Wangyuan Zong & Jinyi Liu & Mao Li & Guodang Lian, 2023. "Design and Experimentation of a Longitudinal Axial Flow Sunflower Oil Threshing Device," Agriculture, MDPI, vol. 13(4), pages 1-16, April.
    6. Petru Cardei & Nicolae Constantin & Vergil Muraru & Catalin Persu & Raluca Sfiru & Nicolae-Valentin Vladut & Nicoleta Ungureanu & Mihai Matache & Cornelia Muraru-Ionel & Oana-Diana Cristea & Evelin-An, 2023. "The Random Vibrations of the Active Body of the Cultivators," Agriculture, MDPI, vol. 13(8), pages 1-24, August.
    7. Han Lin & Jin He & Hui Li & Hongwen Li & Qingjie Wang & Caiyun Lu & Yanjie Li & Shaomei Jiang, 2022. "A Review of Research Progress on Soil Organic Cover Machinery in China," Agriculture, MDPI, vol. 12(9), pages 1-20, August.

    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:gam:jagris:v:12:y:2022:i:11:p:1963-:d:978900. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.