Nonlinear, lumped parameter transformer model reduction technique

被引:0
作者
Rensselaer Polytechnic Inst, Troy, United States [1 ]
机构
来源
IEEE Trans Power Delivery | / 2卷 / 862-868期
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Electric transformer insulation
引用
收藏
相关论文
共 50 条
  • [21] Reproducing the Motorcycle Equation of Motion with Lumped Stiffness on Multi-Body Dynamics Model
    Terayama, Takashi
    Yamaguchi, Shota
    Kitagawa, Hiroshi
    Yabe, Noboru
    SAE International Journal of Advances and Current Practices in Mobility, 2023, 6 (04): : 2274 - 2277
  • [22] Evaluation of parameter uncertainties in nonlinear regression using Microsoft Excel Spreadsheet
    Hu, Wei
    Xie, Jing
    Chau, Henry Wai
    Si, Bing Cheng
    Environmental Systems Research, 2015, 4 (01)
  • [23] The analysis of the effect of array parameter on infrasound noise reduction system performance
    Li, Xihai
    Zhang, Yong
    Meng, Liang
    Jiang, Nan
    Shengxue Xuebao/Acta Acustica, 2015, 40 (03): : 370 - 380
  • [24] IMPROVED INFRARED TECHNIQUE FOR MEASUREMENT OF HYDROGEN-BONDING PARAMETER OF SOLVENTS
    ORR, AA
    JOURNAL OF PAINT TECHNOLOGY, 1975, 47 (607): : 45 - 49
  • [25] ArF photoresist parameter optimization for mask error enhancement factor reduction
    Lee, Chang Ho
    Hye-Keun, O.H.
    Jpn J Appl Phys Part 1 Regul Pap Short Note Rev Pap, 10 (7404-7408):
  • [27] The effect of transformer maintenance parameters on reliability and cost: A probabilistic model
    Jirutitijaroen, Panida
    Singh, Chanan
    Electr Power Syst Res, 3 (213-224):
  • [28] Application of nonlinear local average algorithm in chaotic noise reduction
    Xi, Jian-Hui
    Han, Min
    Sun, Yan-Nan
    Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron, 5 (799-802):
  • [29] A kind of linear reduction of backstepping algorithm based on nonlinear feedback
    Navigation College,, Dalian Maritime University,, Dalian
    116026, China
    Kongzhi yu Juece Control Decis, 9 (1641-1645):
  • [30] Nonlinear dimension reduction for surrogate modeling using gradient information
    Bigoni, Daniele
    Marzouk, Youssef
    Prieur, Clémentine
    Zahm, Olivier
    arXiv, 2021,