The Online Pattern Recognition Method of SF₆ Gas Leakage Based on Image Recognition

Abstract:

Based on image processing of SF₆ gas leakage on-line pattern recognition method, this paper achieves gas leakage feature extracting, on-line identification of gas leakage and leakage points, SF₆ gas leakage can be on-line automatic identification. The simulation results show the feasibility of the algorithm. Compared with the traditional method, paper provides a more intuitive discrimination basis for field staff , as well as for the depth of the late testing data mining provides a research way of thinking

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 682-685
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.682
• Online since: March 2015
• Authors: Jin Xin Huang*, Ya Jin Li, Yang Jiang, Jie Zhan, Lin Niu, Jin Tao Cui, Meng Chao Ma, Deng Sen He, Guo Tao Lu
• Keywords: Average Filtering, Frame Difference Method, Grayscale Conversion, Image Recognition

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