Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals

Zheng Ma, Zelin Zhang, Zhaohui Zhang, Zhiqiang Song (), Yanbin Liu, Yaoming Li and Lizhang Xu
Additional contact information
Zheng Ma: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Zelin Zhang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Zhaohui Zhang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Zhiqiang Song: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Yanbin Liu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Yaoming Li: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Lizhang Xu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China

Agriculture, 2023, vol. 13, issue 12, 1-22

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.

Keywords: combine harvester; cleaning sieve; durability test; signal acquisition; signal analysis (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2077-0472/13/12/2232/pdf (application/pdf)
https://www.mdpi.com/2077-0472/13/12/2232/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:13:y:2023:i:12:p:2232-:d:1292951

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().