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Working Condition Recognition Based on Transfer Learning and Attention Mechanism for a Rotary Kiln
It is difficult to identify the working conditions of the rotary kilns due to the harsh environment in the kilns. The flame images of the firing zone in the kilns contain a lot of working condition information, but the flame image data sample size is too small to be used to fully extract the key fea...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498151/ https://www.ncbi.nlm.nih.gov/pubmed/36141072 http://dx.doi.org/10.3390/e24091186 |