Recognition and Classification of Electrical Treeing Images using Machine Learning

被引：0
|
作者：
Shiozaki Y. [1 ]
Jeon H.-G. [1 ]
Ihori H. [1 ]
机构：
[1] Ehime University, 3, Bunkyo-cho, Matsuyama
来源：
IEEJ Transactions on Fundamentals and Materials | 2023年 / 143卷 / 08期
关键词：
electrical tree; machine learning; silicone gel; supervised learning;
D O I：
10.1541/ieejfms.143.282
中图分类号：
学科分类号：
摘要：
The electrical tree is degradation traces of insulating materials. The mechanism of this electrical tree progress is not yet understood. Therefore, we wondered if machine learning could be used to elucidate the progress mechanism. First, we investigated the applicability of machine learning to electrical tree. © 2023 The Institute of Electrical Engineers of Japan.
引用
收藏
页码：282 / 283
页数：1
相关论文
共 50 条
  • [31] Cloud Recognition in Hyperspectral Satellite Images Using an Explainable Machine Learning Model
    Minkin, A. S.
    Nikolaeva, O. V.
    ATMOSPHERIC AND OCEANIC OPTICS, 2024, 37 (03) : 400 - 408
  • [32] Intelligent deep learning based ethnicity recognition and classification using facial images
    Sunitha, Gurram
    Geetha, K.
    Neelakandan, S.
    Pundir, Aditya Kumar Singh
    Hemalatha, S.
    Kumar, Vinay
    IMAGE AND VISION COMPUTING, 2022, 121
  • [33] Zernike Moments and Machine Learning Based Gender Classification Using Facial Images
    Mahesh, Vijayalakshmi G. V.
    Raj, Alex Noel Joseph
    PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016), 2018, 614 : 398 - 408
  • [34] A Machine learning Classification approach for detection of Covid 19 using CT images
    Suguna, G. C.
    Veerabhadrappa, S. T.
    Tejas, A.
    Vaishnavi, P.
    Sudarshan, E.
    Gowda, Raghunandan, V
    Udupa, Panahami R.
    Spoorthy, R.
    Reddy, Smitha
    EMITTER-INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGY, 2022, 10 (01) : 183 - 194
  • [35] Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning
    Kim, Hyunjun
    Ahn, Eunjong
    Shin, Myoungsu
    Sim, Sung-Han
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2019, 18 (03): : 725 - 738
  • [36] Quality classification of Jatropha curcas seeds using radiographic images and machine learning
    de Medeiros, Andre Dantas
    Pinheiro, Daniel Teixeira
    Xavier, Wanderson Andrade
    da Silva, Laercio Junio
    Fernandes dos Santos Dias, Denise Cunha
    INDUSTRIAL CROPS AND PRODUCTS, 2020, 146
  • [37] Mineral Classification Using Machine Learning and Images of Microscopic Rock Thin Section
    Borges, Henrique Pereira
    de Aguiar, Marilton Sanchotene
    ADVANCES IN SOFT COMPUTING, MICAI 2019, 2019, 11835 : 63 - 76
  • [38] An Automatic Classification of Magnetic Resonance Brain Images Using Machine Learning Techniques
    Murugan, R.
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION, DEVICES AND COMPUTING, 2020, 602 : 463 - 472
  • [39] Development of Hallux Valgus Classification Using Digital Foot Images with Machine Learning
    Hida, Mitsumasa
    Eto, Shinji
    Wada, Chikamune
    Kitagawa, Kodai
    Imaoka, Masakazu
    Nakamura, Misa
    Imai, Ryota
    Kubo, Takanari
    Inoue, Takao
    Sakai, Keiko
    Orui, Junya
    Tazaki, Fumie
    Takeda, Masatoshi
    Hasegawa, Ayuna
    Yamasaka, Kota
    Nakao, Hidetoshi
    LIFE-BASEL, 2023, 13 (05):
  • [40] Brain Hemorrhage Classification in CT Scan Images Using Minimalist Machine Learning
    Solorio-Ramirez, Jose-Luis
    Saldana-Perez, Magdalena
    Lytras, Miltiadis D.
    Moreno-Ibarra, Marco-Antonio
    Yanez-Marquez, Cornelio
    DIAGNOSTICS, 2021, 11 (08)
12345