Estimation of magnetic field distributions in substation centers using artificial neural networks

被引：0
|
作者：
Colak, Ilhami [1 ]
Kosalay, Ilhan
Inan, Aslan
机构：
[1] Gazi Univ, Fac Tech Educ, Dept Elect Educ, TR-065000 Ankara, Turkey
[2] Energy Sect, Studio Dept, Turkish Radio & Televis Authorizat, Ankara, Turkey
[3] Yildiz Tech Univ, Fac Elect & Elect Engn, Dept Elect Engn, TR-34349 Istanbul, Turkey
来源：
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH | 2007年 / 66卷 / 10期
关键词：
ANN; magnetic field; transformer substation; visualization;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Magnetic fields at different operation conditions, in and out of the measurement points, were estimated and visualized by the developed visual software, which has 3D screening unit, based on artificial neural networks and grid data. Software enables users to estimate electromagnetic field distributions in and out of the measurement points.
引用
收藏
页码：819 / 827
页数：9
相关论文
共 50 条
  • [41] An approach to evaluation of the extremely low-frequency magnetic field radiation in the laptop computer neighborhood by artificial neural networks
    Brodic, Darko
    Tanikic, Dejan
    Amelio, Alessia
    NEURAL COMPUTING & APPLICATIONS, 2017, 28 (11) : 3441 - 3453
  • [42] Applying artificial neural networks for systematic estimation of degree of fouling in heat exchangers
    Davoudi, Ehsan
    Vaferi, Behzad
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2018, 130 : 138 - 153
  • [43] Inverse estimation of number and location of discrete heaters in radiant furnaces using artificial neural networks and genetic algorithm
    Yadav, Rahul
    Balaji, C.
    Venkateshan, S. P.
    JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2019, 226 : 127 - 137
  • [44] Performance Prediction of Solar Collectors Using Artificial Neural Networks
    Xie, Hui
    Liu, Li
    Ma, Fei
    Fan, Huifang
    2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS, 2009, : 573 - 576
  • [45] An Effective Approach of Detecting DDoS Using Artificial Neural Networks
    Ahanger, Tariq Ahamed
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), 2017, : 707 - 711
  • [46] Geomechanical modelling using artificial neural networks combined with geostatistics
    Pham Son Tung
    INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY, 2022, 29 (01) : 91 - 111
  • [47] Forecasting the thermal conductivity of a nanofluid using artificial neural networks
    Rostami, Sara
    Kalbasi, Rasool
    Sina, Nima
    Goldanlou, Aysan Shahsavar
    JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2021, 145 (04) : 2095 - 2104
  • [48] Texture classification of the human iris using artificial neural networks
    Alim, OA
    Sharkas, M
    11TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, PROCEEDINGS, 2002, : 580 - 583
  • [49] Prediction of building energy consumption by using artificial neural networks
    Ekici, Betul Bektas
    Aksoy, U. Teoman
    ADVANCES IN ENGINEERING SOFTWARE, 2009, 40 (05) : 356 - 362
  • [50] Masonry Compressive Strength Prediction Using Artificial Neural Networks
    Asteris, Panagiotis G.
    Argyropoulos, Ioannis
    Cavaleri, Liborio
    Rodrigues, Hugo
    Varum, Humberto
    Thomas, Job
    Lourenco, Paulo B.
    TRANSDISCIPLINARY MULTISPECTRAL MODELING AND COOPERATION FOR THE PRESERVATION OF CULTURAL HERITAGE, PT II, 2019, 962 : 200 - 224
12345