Model and Method of Fault Signal Diagnosis for Blockage and Slippage of Rice Threshing Drum

Shuaihua Hao, Zhong Tang (), Songbao Guo, Zhao Ding () and Zhan Su
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Shuaihua Hao: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Zhong Tang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Songbao Guo: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Zhao Ding: Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua 321017, China
Zhan Su: Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua 321017, China

Agriculture, 2022, vol. 12, issue 11, 1-19

Abstract: Rice threshing drum of combine harvester is difficult to monitor and repair the abnormal state in time. When slippage or blockage occurs in the threshing drum, the working efficiency of the threshing drum will reduce seriously, such as the threshing efficiency will decline seriously, and then cleaning performance of combine harvester will decline. In order to reveal the vibration characteristics of rice threshing drum under different working conditions and the vibration response state of the drum bearing undergoing different faults occur, the vibration system model of the threshing drum is established in this paper. With the help of the vibration test bench of the multi-stage threshing drum, the vibration signal test of the slippage and blockage of the threshing drum under the belt drive mode is carried out. The results show that the Z direction signal has a vibration peak at the low frequency (25 Hz) when the threshing drum is blocked, the maximum vibration displacement is about 0.55 mm; the Z direction signal signal peak is concentrated at 50 Hz when a slip fault occurs, and the maximum vibration displacement is about 0.184 mm, the fitting effect between frequency and mathematical model is good. The results of this paper reveal the vibration characteristics of the threshing drum under different abnormal working conditions, at the same time provide a theoretical basis for the fault diagnosis of the threshing drum of the combine harvester.

Keywords: combine harvester; threshing drum; vibration characteristics; response model; failure prediction (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: 2022
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