Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells.
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| Title: | Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells. |
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| Authors: | Zhao Y; School of Management, Guizhou University, Guiyang, China.; Guizhou Provincial Key Laboratory of Internet plus Intelligent Manufacturing, Guiyang, China., Wang T; School of Management, Guizhou University, Guiyang, China.; Guizhou Provincial Key Laboratory of Internet plus Intelligent Manufacturing, Guiyang, China., Wang X; School of Economics and Management, Guiyang University, Guiyang, China. |
| Source: | PloS one [PLoS One] 2026 Jan 30; Vol. 21 (1), pp. e0341884. Date of Electronic Publication: 2026 Jan 30 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0341884 |
