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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Detalhes bibliográficos

Principais autores:	Ren Zhengxiong, Han Hua, Cui Xiaoyu, Lu Hailong, Zhang Yunqian
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Journal of Refrigeration Magazines Agency Co., Ltd. 2022-01-01
coleção:	Zhileng xuebao
Assuntos:	refrigeration system fault diagnosis semi-supervised learning Tri-Training optimization
Acesso em linha:	http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2022.04.129
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