Skip to main content

A Novel Scheme of Fault Detection in Transmission Line Using Image Processing

  • Conference paper
  • First Online:
Advances in Energy and Power Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 508))

Abstract

This paper gives a scheme to find the fault or monitor the condition of transmission line using image processing. The technique of Digital Image Processing (DIP) and Wavelet Shrinkage Function (WSF) is used for fault detection and diagnosis. In other context, image of a transmission line is taken by the thermovision camera with the coordinates of transmission line, which are current, voltage, and temperature. The algorithm for image segmentation is used which divides the image into the set of part and objects. Application of WSF is done to read the image characteristics and standard deviation which gives the image quality where the fault occurs. This proposed method gives results in terms of visual quality and peak signal-to-noise ratio (PSNR).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Om, H., Biswas, M.: A generlized image denoising method using neighbouring wavelet coefficients. Sig. Image Video Process (SIViP) (2013) (Springer)

    Google Scholar 

  2. Almeida, C.A.L.: Intelligent thermographic diagnostic applied to surge arresters: a new approach. IEEE Trans. Power Deliv. 24 (2009)

    Google Scholar 

  3. Dengwen, Z., Wengang, C.: Image denoising with an optimal threshold and neighbouring window. Pattern Recogn. Lett. 29(11), 1694–1697 (2008) (Elsevier)

    Google Scholar 

  4. Fan, W., Chen, J., Zhen, J.: SPIHT Algorithm Based on Fast Lifting Wavelet Transform in Image Compression. Springer publication (2005)

    Google Scholar 

  5. Pan, L.: Intelligent image recognition research on status of power transmission lines. Sens. Transducers 179, 174–179 (2014) (IFSA publication)

    Google Scholar 

  6. Jun, L., Xinyu, L.: Heating defect detection system scheme design based on infrared image processing for high voltage plant of substation. Advance in Control Engineering and Information Science, Elsevier (2011)

    Google Scholar 

  7. Chinnarao, B., Madhavilatha, M.: Improved image de noising algorithm using dual tree complex wavelet transform. Int. J. Comput. Appl. 44 (2012)

    Google Scholar 

  8. Kumar, D., Kumar, A., Yadav, A.: A flexible scheme of fault sensing in power transmission line using artificial intelligence technics, Am. J. Remote Sens. 4(6), pp. 33–39 (2016). https://doi.org/10.11648/j.ajrs.20160406.11

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deepak Kumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kumar, D., Kumar, A., Yadav, A., Ansari, M.A. (2018). A Novel Scheme of Fault Detection in Transmission Line Using Image Processing. In: Singh, S., Wen, F., Jain, M. (eds) Advances in Energy and Power Systems. Lecture Notes in Electrical Engineering, vol 508. Springer, Singapore. https://doi.org/10.1007/978-981-13-0662-4_9

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0662-4_9

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0661-7

  • Online ISBN: 978-981-13-0662-4

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics