Opto-Electronic Engineering, Volume. 43, Issue 1, 1(2016)

The Quantitative Classification of Corona Discharge Intensity of UV Detection

MA Lixin*... ZHOU Xiaobo, ZHU Run and SHAN Yu |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less

    High voltage equipment that runs for a long time could produce corona discharge phenomenon. The harm of corona discharge is serious, so it’s necessary to detect the corona. As a new technology of detecting high pressure discharge equipment fault, this article used ultraviolet discharge detection that can fuse to corona and visible light images and can locate fault point accurately. The article used the theory of projection pursuit in genetic algorithm, and used the collection of ultraviolet corona figure after processing of the Delphi software as a hierarchical data, and the level model of genetic projection pursuit was set up to study the quantitative classification of corona discharge strength. The experimental results verified the rationality of the model. Test results achieve the desired requirements, and have certain practical significance to discharge fault detection.群体智能与智能电网等。

    Tools

    Get Citation

    Copy Citation Text

    MA Lixin, ZHOU Xiaobo, ZHU Run, SHAN Yu. The Quantitative Classification of Corona Discharge Intensity of UV Detection[J]. Opto-Electronic Engineering, 2016, 43(1): 1

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 9, 2015

    Accepted: --

    Published Online: Mar. 22, 2016

    The Author Email: Lixin MA (malx_aii@sina.com)

    DOI:10.3969/j.issn.1003-501x.2016.01.001

    Topics