Development of a kiln petcoke mill predictive model based on a multi-regression XGBoost algorithm
This paper presents an investigation into the optimization of petroleum coke mill or petcoke mill processes, to improve efficiency and reduce waste in the heavy industry within the cement plant where our study is conducted. Our mission was to create a robust algorithm that could properly anticipate...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2024-02, Vol.130 (7-8), p.3373-3386 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Benchekroun, Mohammed Toum Zaki, Smail Aboussaleh, Mohamed Belrhiti, Hajar Diassana, Fatoumata |
| description | This paper presents an investigation into the optimization of petroleum coke mill or petcoke mill processes, to improve efficiency and reduce waste in the heavy industry within the cement plant where our study is conducted. Our mission was to create a robust algorithm that could properly anticipate the mill’s performance and improve its operations. To accomplish this, we started by performing a comprehensive data analysis. Next, we built numerous regression models, and then assessed the effectiveness of each model using four crucial metrics. The suggested model is a multi-regression XGBoost (eXtreme gradient boosting) model, performing with a 90% score. Finally, the model will then be used to build an algorithm that can optimize the input values to accomplish the intended results. |
| doi_str_mv | 10.1007/s00170-023-12689-z |
| format | Article |
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| subjects | Advanced manufacturing technologies Algorithms Artificial intelligence CAE) and Design Cement industry Cement plants Coal Computer-Aided Engineering (CAD Costs Data analysis Datasets Electricity Energy consumption Energy efficiency Engineering Industrial and Production Engineering Investigations Literature reviews Machine learning Manufacturing Mechanical Engineering Media Management Optimization Original Article Petroleum coke Prediction models Regression models |
| title | Development of a kiln petcoke mill predictive model based on a multi-regression XGBoost algorithm |
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