Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders
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DOI: 10.1109/tii.2021.3084911
Abstract: Accurate monitoring of abnormalities is of great significance to the stable operation of the blast furnace ironmaking process. This article proposes a data-driven model to accurately monitor the abnormal conditions of blast furnaces. Generally, data-driven… read more here.
Keywords: ironmaking process; furnace ironmaking; target; blast furnace ... See more keywords