Research on Comprehensive Operation and Maintenance Based on the Fault Diagnosis System of Combine Harvester

Weipeng Zhang, Bo Zhao, Liming Zhou, Jizhong Wang, Kang Niu, Fengzhu Wang and Ruixue Wang
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Weipeng Zhang: The State Key Laboratory of Soil-Plant-Machinery System Technology, Beijing 100083, China
Bo Zhao: The State Key Laboratory of Soil-Plant-Machinery System Technology, Beijing 100083, China
Liming Zhou: The State Key Laboratory of Soil-Plant-Machinery System Technology, Beijing 100083, China
Jizhong Wang: The State Key Laboratory of Soil-Plant-Machinery System Technology, Beijing 100083, China
Kang Niu: The State Key Laboratory of Soil-Plant-Machinery System Technology, Beijing 100083, China
Fengzhu Wang: The State Key Laboratory of Soil-Plant-Machinery System Technology, Beijing 100083, China
Ruixue Wang: The State Key Laboratory of Soil-Plant-Machinery System Technology, Beijing 100083, China

Agriculture, 2022, vol. 12, issue 6, 1-17

Abstract: In view of the difficulty in diagnosing and discriminating fault conditions during the operation of combine harvesters, difficulty in real-time processing of health status, and low timeliness of fault processing, a comprehensive operation and maintenance platform for combine harvesters was developed in this study which realized the functions of data monitoring and the full operation and maintenance of a combine harvester. At the same time, through the comprehensive operation and maintenance platform, the harvester information was obtained in real-time, the diagnosis results were obtained, and the maintenance service was effectively carried out through the platform. The IPSO-SVM fault diagnosis algorithm was proposed, and the performance of the fault diagnosis of the combine harvester was verified by the simulation test. The experimental verification showed that the system met the requirements of remote monitoring of combine harvesters, and the prediction accuracy of this method was 97.96%. Compared with SVM (87.51%), GA-SVM (89.44%), and PSO-SVM (92.56%), this system had better generalization ability and effectively improved the management level of the comprehensive operation and maintenance of the combine harvester. A theoretical basis and technical reference will be provided for the follow-up research for the comprehensive operation and maintenance platform of the combine harvester in this paper.

Keywords: fault diagnosis; comprehensive operation and maintenance; platform system simulation analysis; model comparison (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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