Data and knowledge collaborative-driven fault identification and self-healing control action inference framework for blast furnace
Abstract: Highlights•A self-healing control framework for blast furnace is proposed.•Introducing prior knowledge into industry can efficiently benefit process modeling.•Put forward an adaptive sequence division method for non-stationary data.•The method is suitable for non-stationary and high safety requirements situations.
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