Interpretable machine learning-based rolling force prediction using multivariate industrial data during tandem cold rolling

Ironmaking & Steelmaking Processes Products and Applications, Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

In the pursuit of intelligent manufacturing goals, industrial big data technology has emerged as a key enabler in advancing steel industry. Traditional rolling force (RF) models typically rely on from individual cold production lines, leading to lower accuracy and limited interpretability. To overcome this, an platform been developed, offering complete reliable dataset enhance performance RF prediction models. A data-driven machine learning framework is proposed, employing improved sparrow search algorithm optimise weighting parameters broad system. The Shapley additive explanations method further applied elucidate contributions multivariate features hot rolling, thereby enhancing interpretability predictions. proposed was validated line plant, demonstrating significant advantages over existing state-of-the-art Furthermore, this study demonstrates extensively elaborates impact predictive Industrial application validation that accurately predicts at head cold-rolled strip, enabling feedforward compensation for bending effectively improving flatness defects, confirming method's efficacy.

Язык: Английский

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An avatar cloud service based method for supervising and interacting with containerized applications

Expert Systems with Applications, Год журнала: 2025, Номер 269, С. 126447 - 126447

Опубликована: Янв. 9, 2025

Язык: Английский

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Driving Operational Excellence: The Role of Technology-Organization-Environment Framework in Lean Six Sigma Integrated Industry 4.0 Adoption

Engineering Management Journal, Год журнала: 2025, Номер unknown, С. 1 - 13

Опубликована: Фев. 21, 2025

Язык: Английский

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Improving efficiency of steel converter facility: a digital twin and reinforcement learning approach

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Апрель 7, 2025

Язык: Английский

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Flatness prediction and optimization control of electronic aluminum foil based on MPSO-LightGBM

The International Journal of Advanced Manufacturing Technology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

Язык: Английский

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Physics-informed generative regression for industrial process modeling in steel strip rolling

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127713 - 127713

Опубликована: Апрель 1, 2025

Язык: Английский

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Research and application of the flatness target curve discrete dynamic programming based on two-dimensional decision making

Expert Systems with Applications, Год журнала: 2024, Номер 256, С. 124947 - 124947

Опубликована: Авг. 3, 2024

Язык: Английский

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Feasible low-carbon technological pathway: Sustainable development strategies in the vanadium titanium steel industry

Applied Energy, Год журнала: 2024, Номер 379, С. 124919 - 124919

Опубликована: Ноя. 19, 2024

Язык: Английский

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Application of novel interpretable machine learning framework for strip flatness prediction during tandem cold rolling

Measurement, Год журнала: 2024, Номер unknown, С. 116516 - 116516

Опубликована: Дек. 1, 2024

Язык: Английский

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Development and Application of Digital Twin Technique in Steel Structures

Applied Sciences, Год журнала: 2024, Номер 14(24), С. 11685 - 11685

Опубликована: Дек. 14, 2024

Steel structures face significant challenges in long-term maintenance because of complex and unstable service environments. Fortunately, the digital twin technique offers an excellent solution by creating a model continuously updating it with real-time monitoring data. To determine development application status steel structures, review drawn on latest literature from past fifteen years was conducted. The bibliometric analysis innovation discussion these studies primarily focused publication details, keyword information, specifics. Additionally, attention given to evolution definitions, modeling methodologies, fields. results indicate that has made advancements both its definition thanks worldwide contributions. Meanwhile, this also demonstrates advantages applications material deformation, structural monitoring, infrastructure maintenance, fatigue assessment. Based existing literature, future should focus innovation, expansion, performance optimization.

Язык: Английский

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