Abstract
The pantograph-catenary system of high-speed EMU is the only way to get the power of high-speed trains. Pantograph-catenary arc fault is a kind of common fault of pantograph-catenary system, which brings fatal harm for train and becomes an important factor to hinder the stable operation of the train. The pantograph-catenary arc detection based on image processing can detect the state of pantograph-catenary system quickly, which can judge whether there is an arc in system and maintain the safety of train. Compared with the traditional detection method, it will be divided into infrared, ultraviolet and visible light accordance with the detection of the use of image information, which on the basis of summarizing all kinds of non-contact arc detection methods in recent years. The edge detection, threshold segmentation and other algorithms are summarized and the characteristics of pantograph-catenary arc are highlighted by using image enhancement technology. In view of the shortcomings of the existing non-contact pantograph-catenary arc detection, the future development is prospected.
Submitted to 2017 International Symposium on Intelligent Transportation and Smart City - Green Transportation Urban Utility.
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Acknowledgements
This work is supported by the 13th Five-Year National Key Research and Development Plan (2016YFB1200402). The authors are grateful for the reviewer of initial drafts for their helpful comments and suggestions.
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Huang, S., Zhang, F., Yu, L., Pan, M. (2017). Overview of Non-contact Pantograph-Catenary Arc Detection Based on Image Processing. In: Zeng, X., Xie, X., Sun, J., Ma, L., Chen, Y. (eds) International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings. ITASC 2017. Smart Innovation, Systems and Technologies, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-3575-3_28
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