Case-based power transformer diagnose model using nonlinear mapping of oil chromatography

The Journal of Engineering

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[1] Electric Power Research Institute of State Grid Zhejiang Electric Power Corporation, Hangzhou, People's Republic of China;State Grid Jinhua Power Supply Company, Jinhua, People's Republic of China;State Grid Zhejiang Electric Power Corporation, Hangzhou, People's Republic of China;

关键词: power transformer insulation;    fault diagnosis;    chromatography;    transformer oil;    Internet;    threshold method;    similarity degree algorithm;    oil chromatogram gas;    nonlinear normalised mapping method;    case-based diagnostic model;    oil chromatography;    case-based power transformer diagnose model;   

DOI  :  10.1049/joe.2018.8372

来源: publisher

【 摘 要 】

In this study, a case-based diagnostic model of a power transformer for oil chromatography is proposed. A nonlinear normalised mapping method is proposed for achieving ideal distribution characteristics of oil chromatogram gas in the case base. A similarity degree algorithm is proposed to calculate the similarity degree in the target spatial domain between the case to be diagnosed and the cases in the case base. A threshold method is proposed to determine the number of similar cases. Also, a method for calculating the weight of the diagnosis result according to the case distribution in the case base is proposed. The diagnostic method proposed is used to deploy the diagnostic system on the Internet. Defeat diagnosis conclusions of two transformers by the method and system in this paper are consistent with the disintegration results. It can be concluded that the proposed method has important practical application value in engineering.

【 授权许可】

CC BY