Research on Comprehensive Operation and Maintenance Based on the Fault Diagnosis System of Combine Harvester
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- Xia, Min & Shao, Haidong & Williams, Darren & Lu, Siliang & Shu, Lei & de Silva, Clarence W., 2021. "Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
- Peng Zhang & Hongbo Xu & Zhichao Hu & Youqing Chen & Mingzhu Cao & Zhaoyang Yu & Enrong Mao, 2021. "Characteristics of Agricultural Dust Emissions from Harvesting Operations: Case Study of a Whole-Feed Peanut Combine," Agriculture, MDPI, vol. 11(11), pages 1-14, October.
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- Jianwei Fu & Chao Ji & Haopeng Liu & Weikang Wang & Guozhong Zhang & Yuan Gao & Yong Zhou & Mohamed Anwer Abdeen, 2022. "Research Progress and Prospect of Mechanized Harvesting Technology in the First Season of Ratoon Rice," Agriculture, MDPI, vol. 12(5), pages 1-33, April.
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- Yehong Liu & Xin Wang & Dong Dai & Can Tang & Xu Mao & Du Chen & Yawei Zhang & Shumao Wang, 2023. "Knowledge Discovery and Diagnosis Using Temporal-Association-Rule-Mining-Based Approach for Threshing Cylinder Blockage," Agriculture, MDPI, vol. 13(7), pages 1-21, June.
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Keywords
fault diagnosis; comprehensive operation and maintenance; platform system simulation analysis; model comparison;All these keywords.
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