Safety Evaluation of Mine Ventilation System Based on Principal Components Analysis and Fisher Discrimination Analysis Method

In view of the mine ventilation system safety assessment problems,a principal component analysis(FDA)-Fisher discriminant analysis(FDA) model(PCA-FDA) is established.Firstly,evaluation indexes are selected in the safe and reliable,economic and reasonable,easy measurement principle.Combined with the theory of statistics,the:principal components are selected using SPSS software for learning samples by principal component analysis(PCA).Finally,Fisher diseriminant analysis is used to analyze the principal component.Then the model is used to discriminant the actual production of the mine ventilation system and compare with traditional Fisher discriminant analysis.The results show that SPSS PCA-FDA model can make discrimination results more accurate by eliminating the interaction between the sample variable indicators effectively.Computing time is reduced greatly,convenient for practical popularization and application.