An industrial process fault diagnosis method based on independent slow feature analysis and stacked sparse autoencoder network
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| Titel: | An industrial process fault diagnosis method based on independent slow feature analysis and stacked sparse autoencoder network |
|---|---|
| Autoren: | Chang Li, Chenglin Wen, Zhe Zhou |
| Quelle: | Journal of the Franklin Institute. 361:234-247 |
| Verlagsinformationen: | Elsevier BV, 2024. |
| Publikationsjahr: | 2024 |
| Publikationsart: | Article |
| Sprache: | English |
| ISSN: | 0016-0032 |
| DOI: | 10.1016/j.jfranklin.2023.10.004 |
| Rights: | Elsevier TDM |
| Dokumentencode: | edsair.doi...........b09d2b146cef30ae9c1fec96df9ddccc |
| Datenbank: | OpenAIRE |
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