69 / 2018-08-23 08:34:03
Atmospheric Corrosion State Evaluation Based on Surface Corrosion Morphology for Electrical Metal Frame Equipment in Chongqing Power Grid
atmospheric corrosion,,electrical equipment,,corrosion product,corrosion failure detection method
全文待审
MIN DAN / Chongqing university
Wu Gaolin / State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute
Ren Xiao / State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute
Zhong Yao / Chongqing university
Jian Hao / Chongqing university
Wang Qian / State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute
Atmospheric and soil corrosion problems in power grid equipment are one of the important reasons that limit its service life, resulting in equipment replacement and failure. Therefore, to establish an effective evaluation method for the differentiated corrosion state of new and old equipment in different environments, it is beneficial to adopt corresponding design, material selection and anti-corrosion measures, which will greatly reduce the post-maintenance cost. 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 σm, 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.
重要日期
  • 会议日期

    04月07日

    2019

    04月10日

    2019

  • 04月10日 2019

    注册截止日期

  • 05月12日 2019

    初稿截稿日期

主办单位
IEEE电介质和电气绝缘协会
中国电工学会工程电介质专业委员会
承办单位
华南理工大学
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询