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Atmospheric Corrosion State Evaluation Based on Surface Corrosion Morphology for Electrical Metal Frame Equipment in Chongqing Power Grid

机译:重庆电网电气框架设备表面腐蚀形态的大气腐蚀状态评价

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This paper studies the atmospheric corrosion characteristics of grid metal frame equipment in Chongqing. Through the standard field test method of atmospheric corrosion -"exposure" method, this study carried out the substation site hanging test of the Q235 steel of the power transmission and transformation engineering structural material in the atmospheric environment, and mastered the corrosion data of Q235 steel in different corrosion stages. It was found that the morphology, quantity and characteristics of corrosion products on the metal surface varied greatly with the progress of corrosion. According to the metal corrosion morphology of different corrosion time, combined with image processing technology and wavelet transform algorithm, the parameters such as gray mean M, corrosion standard deviation σ_m, corrosion energy E, and energy percentage of wavelet image coefficient were selected as corrosion characteristic variable. At the same time, the BP neural network algorithm was used to qualitatively evaluate the corrosion state of the electrical equipment metal. By testing the on-site samples of the two substations, the corrosion state values of the samples were 0.946 and 0.8071, respectively, which is consistent with the actual corrosion degree, and the system had a good evaluation result.
机译:本文研究了重庆栅格金属框架设备的大气腐蚀特性。通过大气腐蚀 - “曝光”方法的标准现场试验方法,本研究开展了大气环境中电力传动和转化工程结构材料Q235钢的变电站现场悬挂试验,掌握了Q235钢的腐蚀数据在不同的腐蚀阶段。发现金属表面上腐蚀产品的形态,数量和特性随着腐蚀的进展而变化大大变化。根据不同腐蚀时间的金属腐蚀形貌,结合图像处理技术和小波变换算法,选择灰色均值M,腐蚀标准偏差σ_m,腐蚀能量e和小波图像系数的能量百分比的参数作为腐蚀特性多变的。同时,BP神经网络算法用于定性地评估电气设备金属的腐蚀状态。通过测试两个变电站的现场采样,样品的腐蚀状态值分别为0.946和0.8071,这与实际的腐蚀程度一致,该系统有一个良好的评价结果​​。

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