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Abstract

With the continuous increase of electric locomotive running speed, pantograph arc occurs more and more frequently. The conducted electromagnetic noise caused by pantograph arc will effect seriously normal operation of on-board equipment. With the self-developed electromagnetic noise experimental system, eighty-six groups of conducted electromagnetic noise experiments under different sliding speed, contact pressure, contact current conditions were carried out with single-factor experimental method. Total harmonic distortion (THD) of contact current was proposed and used to reflect the interference level of the conducted electromagnetic noise. The effect of sliding speed, contact pressure and contact current on THD was analyzed. A regression model of the conducted electromagnetic noise was established by using support vector machine (SVM). The independent variable of the model are sliding speed, contact pressure and contact current. The dependent variable of the model is THD. The model parameters were optimized by using particle swarm optimization algorithm. The effectiveness of the regression model was verified with experimental results. It can be used to further understand and forecast the conducted electromagnetic noise.

Keywords

Pantograph arc electromagnetic noise total harmonic distortion sliding electrical contact SVM

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Conducted electromagnetic noise characteristics of pantograph arc and its regression model

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