Abstract
Pantograph slider is the critical component to provide power for the train. The friction between the slider and the contact line will lead to the continuous wear of the slider. Timely monitoring of the slider wear state is of great significance to ensure the safety of train operation. In this paper, we propose an online monitoring system based on 2D laser displacement sensors for the slider wear state. First, two 2D laser displacement sensors are employed to collect the slider data. Second, the original data are processed by algorithms including data pre-processing, data fusion, slider data correction, curve fitting, and wear curve extraction to obtain the wear curve of the slider. Then, five criteria are used to evaluate five wear states. The experimental results shown that the proposed system has good wear detection accuracy and can automatically evaluate the slider wear state, which can meet the needs of on-site maintenance.
Published Version
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