In the paper the application of intellectual data analysis methods for industrial plant control systems efficiency estimation and modeling is considered. To solve this problem the expert-classification and expert-statistical analysis is used. For the prediction model development, the structural forecasting method is used. Developed methods were applied for railway track condition analysis, modeling and forecasting in the framework of OJSC «Russian Railways» track facilities analysis problem.