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Semi-supervised Fault Diagnosis of Refrigeration System Based on Tri-Training

A significant amount of unlabeled data are idle when labeled data with known operating statuses are used in the fault diagnosis of conventional refrigeration systems. Therefore, a semi-supervised fault diagnosis method is proposed in this study for refrigeration systems based on the Tri-Training met...

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Hoofdauteurs: Ren Zhengxiong, Han Hua, Cui Xiaoyu, Lu Hailong, Zhang Yunqian
Formaat: Artigo
Taal:Chinês
Gepubliceerd in: Journal of Refrigeration Magazines Agency Co., Ltd. 2022-01-01
Reeks:Zhileng xuebao
Onderwerpen:
refrigeration system
fault diagnosis
semi-supervised learning
Tri-Training
optimization
Online toegang:http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2022.04.129
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