Intelligent fault monitoring and diagnosis of tunnel fans using a hierarchical cascade forest.

Yang, Zhi-Xin; Li, Chao-Shun; Wang, Xian-Bo; Chen, Hao

Yang, Zhi-Xin; Li, Chao-Shun; Wang, Xian-Bo; Chen, Hao.

Afiliação

Yang ZX; State Key Laboratory of Internet of Things for Smart City, University of Macau, 999078, Macao Special Administrative Region of China. Electronic address: zxyang@um.edu.mo.
Li CS; The School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. Electronic address: csli@hust.edu.cn.
Wang XB; Hainan Institute of Zhejiang University, SanyaChina 572000, China; State Key Laboratory of Internet of Things for Smart City, University of Macau, 999078, Macao Special Administrative Region of China. Electronic address: xianbowang@um.edu.mo.
Chen H; State Key Laboratory of Internet of Things for Smart City, University of Macau, 999078, Macao Special Administrative Region of China. Electronic address: chen.hao@connect.um.edu.mo.

ISA Trans ; 136: 442-454, 2023 May.

Article em En | MEDLINE | ID: mdl-36435644

Palavras-chave

Confidence estimation; Deep forest; Hierarchical cascade structure; Intelligent fault diagnosis; Random forest; Tunnel fans

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: ISA Trans Ano de publicação: 2023 Tipo de documento: Article

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