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Fault Diagnosis of the Dynamic Chemical Process Based on the Optimized CNN-LSTM Network
[Image: see text] Deep learning provides new ideas for chemical process fault diagnosis, reducing potential risks and ensuring safe process operation in recent years. To address the problem that existing methods have difficulty extracting the dynamic fault features of a chemical process, a fusion mo...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521029/ https://www.ncbi.nlm.nih.gov/pubmed/36188261 http://dx.doi.org/10.1021/acsomega.2c04017 |