Locating Method of Oil-filled Transformer Inspection Robot
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 5Sprache: EnglischTyp: PDF
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Autoren:
Feng, Yingbin; Kou, Yahui; Zhao, Yanling (Shenyang Ligong Unviversity, School of Automation and Electrical Engineering, Shenyang, China)
Yang, Huadong (Shenyang Ligong Unviversity, School of Information Science and Engineering, Shenyang, China)
Inhalt:
Aiming at the difficult problem of transformer fault location and identification, this paper proposes a locating method of oil filled transformer internal detection robot. The depth gauge and lidar are used in the locating method. This paper analyzed the causes of lidar measurement errors. The mathematical model between real value and measured value is established by polynomial fitting. The tank experiments have tested the effectiveness of this localization method.