Corona Discharge Detection and Confirmation Method Using Ultraviolet Camera

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Background/Objectives: It is very difficult to detect and identify insulation defects in high-voltage systems using ultraviolet (UV) corona cameras. This paper describes the effect of measurement distance and UV camera type and gain on photon count.

    Methods/Statistical analysis: Experiments were carried out using two types of equipment (Superb and UVolle) manufactured by OFIL. As a result, we confirmed that the number of photons varies depending on the type, gain, and measurement distance of a UV camera.

    Findings: It is difficult to judge corona count value and abnormality of electric equipment only with measurement of corona in the equipment. With consideration of various factors other than simple corona count value and visual inspection, it is possible to decide whether there is defect or not.

    Improvements/Applications: In order to minimize errors in inspection and diagnosis in the field, we have proposed the UV corona determination criteria and implemented the applicable work process in the field.

     

     


  • Keywords


    Insulation fault, Ultraviolet camera, Corona discharge, Distance, gain

  • References


      [1] Chef-Yeh Wang, Shih-Wen Lee and Der-Chin Chen, The Corona Inspection of Ceramic Insulator by Ultraviolet Imaging Method, Journal of China University of Science and Technology, 2012 Oct; 53: 29-41.

      [2] Lin CUI, Chang-fu XU, Jia-gui TAO, Ye WEI and Xiang LI, Experimental Study of Ultraviolet Corona Photon Counting Based on Image Features of Substation Electrical Equipment, 2016 Int. Conf. on Materials, Manufacturing and Mechanical Engineering, 2016: 263-272.DOI 10.12783/dtmse/mmme2016/10124

      [3] EPRI, “Guide to Corona and Arcing Inspection of Overhead Transmission Lines”, EPRI Report 1001910, 2002.

      [4] Young-Seok Kim, Myeong-Il Choi, Chong-Min Kim, Sun-Bae Bang, Kil-MokShong, Comparison of UV images and Measurement of the Corona Discharge from Insulators using the UV Sensor, The transactions of The Korean Institute of Electrical Engineers,2011 Apr;60(4): 899-904.

      [5] Dong-Soon Kwag, Young-Seok Kim, UV Detecting according to Corona Discharge Intensity using UV Sensor, Journal of KIIEE,2014Mar; 28(3): 78-

      [6] Young-Seok Kim, Kil-MokShong, Sun-Bae Bang, Chong-Min Kim, Myeong-Il Choi, Analysis of Image and Development of UV Corona Camera for High-Voltage Discharge Detection, Journal of the Korean Institute of IIIuminating and Electrical Installation Engineers, 2011 Sept; 25(9):69-74.

      [7] Kil-MokShong, Young-Seok Kim, Sun-Gu Kim, Images Detection and Diagnosis of Corona Discharge on Porcelain Insulators at 22.9[kV] D/L, IEEE SDEMPED2007 Proc, 2007 Sept;462-466.

      [8] Kil-MokShong, Young-Seok Kim, The UV Images and Aging Judgement with Behaviors Caused by Surface Contamination on 22.9[kV] Class Insulators, Journal of the Korean Institute of IIIuminating and Electrical Installation Engineers, 2010 Jan; 24(1): 167-174.

      [9] Korea Electric Association, Korea Electrotechnical Commission Standard 1201-2011 Table 11 http://www.kea.kr/front/bbs/board.php?ID=09_elec01&UID=115

      [10] Kil-MokShong, Young-Seok Kim, Jin-Soo Jung, An Analysis of UV Detected Images and Safety Standards in Discharging Model, The transactions of The Korean Institute of Electrical Engineers, 2009 July; 58(7): 1380-1385.

      [11] Pradeep Kumar Mallick . S.Saravana Kumar , A.K.Bhoi, and Sonam Sherpa, “Brain Tumor Detection: A Comparative Analysis of Edge Detection Techniques”, International Journal of Applied Engineering Research (IJAER), Volume 10, Number 44, Page No.: 31569-31575, Print ISSN 09734562. Online ISSN 1087—1090, 2015.

      [12] Pradeep Kumar Mallick, S. K. Kar, M.N.Mohanty, and S.Saravan Kumar, “Use of Histogram Approach in Color Band Detection for Electrical Passive Component”, International Journal of Applied Engineering Research (IJAER), Volume 10, Number 44, Page No: 31446-31450, Print ISSN 09734562. Online ISSN 1087—1090, 2015.

      [13] Mihir Narayan Mohanty, Akash Kumar Bhoi,and Pradeep Kumar Mallick, “Frequency Domain and Wavelet Based Methods for ST-Segment Detection” IEEE International Conference On Emerging Trends In Science, Engineering, Business And Disaster Management, Noorul Islam University, Kanyakumarion 28th February 2014.


 

View

Download

Article ID: 22667
 
DOI: 10.14419/ijet.v7i3.24.22667




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.