Soft Sensor Model of f-CaO Content in Cement Clinker Based on Self-Attention and Time Convolutional Network
The quality of cement clinker is strongly linked to its free calcium oxide (f-CaO) content. Therefore, real-time detection of f-CaO content is crucial for reducing energy consumption and stabilizing clinker quality. This work presents a Temporal Convolutional Network (TCN) that incorporates a self-a...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2026-03-01
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| Серии: | Information |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2078-2489/17/3/230 |
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