Author
Listed:
- Zheng Ma
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Key Laboratory for Theory and Technology Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
Faculty of Agricultural Equipment, Jiangsu University, Zhenjiang 212013, China)
- Zelin Zhang
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Key Laboratory for Theory and Technology Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
Faculty of Agricultural Equipment, Jiangsu University, Zhenjiang 212013, China)
- Zhaohui Zhang
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Key Laboratory for Theory and Technology Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
Faculty of Agricultural Equipment, Jiangsu University, Zhenjiang 212013, China)
- Zhiqiang Song
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Key Laboratory for Theory and Technology Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
Faculty of Agricultural Equipment, Jiangsu University, Zhenjiang 212013, China)
- Yanbin Liu
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Key Laboratory for Theory and Technology Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
Faculty of Agricultural Equipment, Jiangsu University, Zhenjiang 212013, China)
- Yaoming Li
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Key Laboratory for Theory and Technology Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
Faculty of Agricultural Equipment, Jiangsu University, Zhenjiang 212013, China)
- Lizhang Xu
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Key Laboratory for Theory and Technology Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
Faculty of Agricultural Equipment, Jiangsu University, Zhenjiang 212013, China)
Abstract
Cleaning is one of the most important steps in the harvesting process, and the prolonged and high-load operation of the vibrating sieve can decrease its reliability. To uncover the structural flaws of the cleaning sieve in the crawler combine harvester and establish a foundation for quality inspection, this paper proposes a method for durability testing and analysis using vibration and strain signals. Via the modal analysis of the cleaning sieve, the most susceptible areas for fault signals are identified. Subsequently, a specialized test rig exclusively designed for the examination of the durability of the cleaning sieve is constructed. After following 96 h of uninterrupted operation, the vibration plate of the cleaning sieve sustains damage, resulting in atypical noise. A signal analysis reveals that the primary vibration signal of the cleaning sieve primarily consists of a fundamental frequency of 5 Hz, corresponding to the driving speed, as well as a frequency doubling signal of 50 Hz. After the occurrence of damage, the peak amplitude of the received vibration signal increases by over 86.3%. Furthermore, the strain gauge sensor situated on the support plate of the rear sieve detects anomalous signals with frequencies exceeding 300 Hz, which are accompanied by a considerable rise in the power spectral density. This research has significant importance for enhancing the service life of the cleaning sieve and optimizing the overall machine efficiency.
Suggested Citation
Zheng Ma & Zelin Zhang & Zhaohui Zhang & Zhiqiang Song & Yanbin Liu & Yaoming Li & Lizhang Xu, 2023.
"Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals,"
Agriculture, MDPI, vol. 13(12), pages 1-22, December.
Handle:
RePEc:gam:jagris:v:13:y:2023:i:12:p:2232-:d:1292951
Download full text from publisher
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:13:y:2023:i:12:p:2232-:d:1292951. 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.
We have no bibliographic references for this item. You can help adding them by using 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.