Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

PD detection and localisation by acoustic measurements in an oil-filled transformer

PD detection and localisation by acoustic measurements in an oil-filled transformer

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Science, Measurement and Technology — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A pattern recognition method for localisation of the partial discharge (PD) site in an oil-filled transformer by acoustic measurements is presented. By dividing the transformer into a number of 20 × 20 × 20 mm3 sub-modules, the PD site is localised by comparing the spatial distance of each sub-module to the acoustic sensors. The numerical cases indicate that the proposed method is general and practical, while avoiding some drawbacks in current algorithms. Moreover, the method improves the accuracy of localisation substantially when compared with the conventional localisation method.

References

    1. 1)
      • E. Kwada , M. Honda , T. Amenfya . Partial discharge automatic monitor for oil-filledpower transformer. IEEE Trans. Power Appar. Syst. , 2 , 422 - 428
    2. 2)
      • L.E. Lundgaard . Partial discharge. XIII acoustic partial discharge detection – fundamentalconsiderations. IEEE Electr. Insul. Mag. , 4 , 25 - 31
    3. 3)
      • M. Wada , S. Ushio , M. Kawada . Wavelet analysis of electric field changes due to lightning discharges. Trans. Inst. Electr. Eng. Jpn. B , 4 , 469 - 474
    4. 4)
      • M. Kawada , S. Utsumi , Y. Lu . Wear particle detection in the lubricating oil of the rotatingmachine bearing by ferrography analytical method using image processing and neural networks. Trans. Inst. Electr. Eng. Jpn. B , 8 , 1132 - 1139
    5. 5)
      • K. Nakamura , A. Nora , T. Watanabe . Acoustic based location of corona discharge in oil-filled transformer. Trans. Inst. Electr. Eng. Jpn. B , 10 , 1285 - 1291
    6. 6)
      • C.E. Lin , J.M. Ling , C.L. Huang . An expert system for transformer fault diagnosis by usingdissolved gas analysis. IEEE Trans. Power Deliv. , 1
    7. 7)
      • E. Howells , E.T. Norton . Location of partial discharge sites in on-line transformers. IEEE Trans. Power Appar. Syst. , 1 , 158 - 161
    8. 8)
      • M. Kwado , M. Wade , Z. Kawasaki . Time-frequency analysis of partial dischargephenomenon in SF6 GIS using wavelet transform. Trans. Inst. Electr. Eng. Jpn. B , 3 , 338 - 345
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-smt_20000223
Loading

Related content

content/journals/10.1049/ip-smt_20000223
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address