High-Speed Pantograph-Catenary Modeling And Application Based On Correlation Analysis

This dissertation proposed correlation and regression approaches in analyzing pantograph-catenary test data to analyze (EMU) pantograph state, discover the relationship between pantograph-centenary characteristics, reduce harmful phenomenon in different operational conditions, and increase EMU operation safety.This dissertation stems from the requirement of pantograph and centenary security when EMU operation. Combined with data correlation analysis and regression analysis, carried out relevant modeling and application, mainly including:First, divided pantograph-catenary test data into running speed, hard point, maximum pressure, minimum pressure, average pressure, maximum catenary altitude, minimum catenary altitude and catenary altitude intercept 8 series. By calculate the correlation coefficient of the 8 series above, get the conclusion in time domain, and make frequency domain verification. Made running speed and pressure as main evaluation indicators.Second, based on regression analysis, describes the mathematics relationship between running speed and pressure, gain 3 experience formulas between running speed and pressure. Based on pantograph and catenary system detecting data verify the 3 Speed-Pressure models. The calculation results show that the error in model conclusion and actual data is within 8%, the mean error is 2.94%. This conclusion shows that use the correlation analysis method to illustrate pantograph and catenary system is feasible. In addition, the result of maximum pressure-running speed model analysis shows that the maximum pressure-running speed mode can play auxiliary function in hard point detection.Third, use the Copula function theory describes the tail correlation between test indexes. Quantified the relevance of risk when independent variable makes big changes. Come to the conclusion that when the running speed values increase or reduce greatly, it will result in different effect to pantograph-centenary's pressure changes. This conclusion could be used for adopt proper method to reduce harmful phenomenon that occurring in different operational conditions.