Multi-dimensional Statistical Analysis And Research On Decision Tree Rule Of Casts The Semi Finished Product Quality

Slab quality is one of the most important issues about casting production. Casting production has very defects, and the factor of these defects is difficult to grasp. Slab surface and internal defects affecting the productivity, and seriously the machine may be extended downtime, which resulting in production loss; at the same time slab quality-related data and information which needed for analysis may be hidden in the mass data which collected in the production such as the various parameters. Therefore, studying the factors of affect the quality of the slab, identify the law of the formation of defects and do statistical analysis and data mine about the slab quality has important significance to the continuous casting technology.In this paper, multivariate statistical analysis of the production process of data analysis, the multivariate analysis of principal component analysis of mathematical models and mathematical models Logistic regression analysis; production data for statistical analysis to obtain the greatest impact on the quality of the slab, Data mining is carried out to build an important basis for the rules and the establishment of the model are verified; application of data mining, data on the mass of data mining and classification, the use of data mining in the decision tree algorithm to build data mining of data classification Model, at the same time to set up a data warehouse, data warehouse of data files to set up a data mapping. According to the results of multivariate statistical analysis to set up a data warehouse of data mining models, the production process of collecting data for data mining and construction of the rules, get the quality of casting and production process parameters affecting each of the decision tree rules.SPSS statistical analysis software used for multivariate statistical analysis to get the result of statistical analysis of data, application software WEKA and ORACLE database, and the use of multivariate analysis of the results of the slab greatest impact on the quality of the data mining model as a factor in the third dimension, data mining and the classification of the rules of building a decision tree. Verify the efficiency of mathematical models, data warehouse data model and data mining model. On the production of slab greatest impact on the quality of the extracted factors, factors that affect the use of data mining and decision tree classification generated rules, and to improve the quality of the casting tools and solutions.