One-class transformer-based feature disentanglement with clustering-driven semisupervised learning for the fault diagnosis of reciprocating machinery.
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| Title: | One-class transformer-based feature disentanglement with clustering-driven semisupervised learning for the fault diagnosis of reciprocating machinery. |
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| Authors: | Cabrera D; South China University of Technology, Wushan Road, Guangzhou, 510640, China. Electronic address: dcabrera@scut.edu.cn., Feng Y; Dongguan University of Technology, No.1 University Road, Dongguan, 523808, China., Sancho F; Seville University, Calle San Fernando, Seville, 41004, Spain., Cerrada M; Universidad Politécnica Salesiana, Calle Vieja 12-30, Cuenca, 010150, Ecuador., Sánchez RV; Universidad Politécnica Salesiana, Calle Vieja 12-30, Cuenca, 010150, Ecuador., Li C; Dongguan University of Technology, No.1 University Road, Dongguan, 523808, China. |
| Source: | ISA transactions [ISA Trans] 2025 Dec; Vol. 167 (Pt B), pp. 1925-1937. Date of Electronic Publication: 2025 Oct 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 0374750 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2022 (Electronic) Linking ISSN: 00190578 NLM ISO Abbreviation: ISA Trans Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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