Multi-working condition performance assessment based on knowledge extraction of optimal operating states for continuous annealing processes

Jiang He, Weihua Cao, Wenkai Hu, Wenshuo Song and Min Wu

International Journal of Systems Science, 2024, vol. 55, issue 5, 894-908

Abstract: Performance assessment is a key to strip quality improvement and energy consumption reduction of Continuous Annealing Processes (CAP). However, existing methods focus on performing the assessment under a single working condition, and the assessment accuracy must be improved. This study proposes a new multi-working-condition performance assessment method based on the knowledge extraction of the optimal operating states for CAP. First, a mechanism–data fusion-based assessment index construction method is proposed for the key parameter selection. Second, a knowledge extraction strategy for the optimal operating states under multiple working conditions is proposed to construct a benchmark library. Third, a knowledge-enhanced assessment model is built to achieve qualitative performance evaluation and quantitative non-optimal traceability. The experiment based on the process data shows the effectiveness of assessing the operating performance, providing decision guidance for strip quality improvement and energy consumption reduction.

Date: 2024
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DOI: 10.1080/00207721.2023.2300718

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