Continuous casting billet subsurface slag inclusion defect forecasting method based on divergence constraint kernel discriminant analysis
A technique of discriminant analysis and discriminant analysis model, which is applied in the direction of instrumentation, adaptive control, control/regulation system, etc., and can solve problems such as low precision, complex production data characteristics, high false negative rate and false positive rate, etc.
Active Publication Date: 2020-12-18
ZHEJIANG UNIV
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Problems solved by technology
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 continuous casting billet subsurface slag inclusion defect forecasting method based on divergence constraint kernel discriminant analysis, which comprises the following steps: firstly, collecting normal working condition data and slag inclusion fault data in a continuous casting production process, establishing inter-class divergence and intra-class divergence, and establishing a divergence constraint kernel discriminant analysis model in combination with a loss function; and then calculating the function, by utilizing Represor Theorem to obtain a model analytical solution, and establishing a slag inclusion defect real-time forecasting model. Compared with a traditional algorithm, the method can greatly improve the accuracy of real-time prediction of the subcutaneous slag inclusion defect of the continuous casting billet.
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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Login to View More IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 宋执环魏驰航
Owner ZHEJIANG UNIV