Prediction method of subcutaneous slag inclusion defect in continuous casting slab based on divergence-constrained kernel discriminant analysis
A technique of discriminant analysis and discriminant analysis model, applied in the direction of instrumentation, adaptive control, control/regulation system, etc., can solve the problems of complex production data characteristics, high false positive rate and low precision, and achieve simplified models Optimizing the Effects of Solving Difficulty
Active Publication Date: 2021-12-28
ZHEJIANG UNIV
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However, due to the complexity of the continuous casting process and production data characteristics, the existing data-driven continuous casting slab subcutaneous slag detection methods have problems such as low accuracy, high false alarm rate and false alarm rate, and its application effect is still difficult to meet the actual production requirements. need
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[0068] The present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments, and the purpose and effect of the present invention will become clearer. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.
[0069] Such as figure 2 As shown, the method for predicting subcutaneous slag inclusion defects in continuous casting slabs based on divergence-constrained nuclear discriminant analysis of the present invention first collects the normal working condition data and slag inclusion fault data of the continuous casting production process, and establishes the inter-class divergence and intra-class divergence Degree, combined with the loss function to establish a divergence-constrained kernel discriminant analysis model, and then use Representer Theorem to calculate the analytical solution of the model, and estab...
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The invention discloses a method for predicting subcutaneous slag inclusion defects in continuous casting slabs based on divergence-constrained kernel discriminant analysis. The method first collects normal working condition data and slag inclusion fault data in the continuous casting production process, and establishes inter-class divergence and intra-class Divergence, combined with the loss function to establish a divergence-constrained kernel discriminant analysis model, and then use Representer Theorem to calculate the analytical solution of the model, and establish a real-time prediction model for slag inclusion defects. Compared with the traditional algorithm, the present invention can greatly improve the accuracy of real-time prediction of subcutaneous slag inclusion defects of continuous casting slabs.
Description
technical field [0001] The invention belongs to the field of industrial process control, in particular to a method for predicting subcutaneous slag inclusion defects of continuous casting slabs based on divergence-constrained kernel discriminant analysis. Background technique [0002] Continuous casting is an important process in the iron and steel industry. In the continuous casting process, the converter molten steel enters the crystallizer through the ladle and the tundish, and adds mold slag (the mold slag at the top of the molten steel page has the functions of heat preservation, preventing secondary oxidation of molten steel, and absorbing impurities, etc. effect). In the crystallizer, the molten steel is cooled and solidified to become a soft steel billet with a certain shell thickness, which is then drawn and straightened by a straightening machine and dummy device, and finally cut into billets by a flame cutting machine; figure 1 Schematic diagram of the continuous...
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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 宋执环魏驰航
Owner ZHEJIANG UNIV