A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics

Deepak Kumar; Amit Kumar; Abhay Yadav

doi:doi:10.11648/j.ajrs.20160406.11

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A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics

Deepak Kumar, Amit Kumar, Abhay Yadav

Published in American Journal of Remote Sensing (Volume 4, Issue 6)

Received: 2 November 2016 Accepted: 14 March 2017 Published: 21 March 2017

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Abstract

This paper approaches a technique that helps to find and diagnosing faults in transmission lines using image process technique. Image processing technique is widely used in all area for solving the problems. In this paper, Digital image processing wavelet shrinkage function is use for fault identification and diagnosis. In the other word, take a faulty image from the source like thermo vision camera and real time recording instrument with the co-ordinates of transmission line. Uses the algorithm of digital image processing for segmentation of the image, segmentation divides the image in set of parts and objects, and then apply the wavelet shrinkage function to read the image and give the result. The proposed method provides results that are in terms of PSNR and visual quality. ANFIS is very useful tool to identify the fault condition of the transmission line where this is used the IF-THEN rule by this condition can be easily learn and take best action to remove the fault.

Published in	American Journal of Remote Sensing (Volume 4, Issue 6)
DOI	10.11648/j.ajrs.20160406.11
Page(s)	33-39
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Image Processing, Fault Detection, Neuro-Fuzzy Approach, Transmission Line

References

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[4]	Hyunuk Ha, SunsinHan, and Jangmyung Lee, “fault Detection on Transmission Lines Using a Microphone Array a nd an Infrared Thermal Imaging Camera”, IEEE tran. on instrumantation and measurmant, vol. 61, no. 1, pp.267-275, jaunuary 2012.
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[13]	R. Syahputra, “A Neuro-Fuzzy Approach For The Fault Location Estimation of Unsynchronized Two Terminal Transmission Line”, International Journal of Computer Science & Information Technology (IJCSIT) Vol 5, No 1, February 2013.
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APA Style

Deepak Kumar, Amit Kumar, Abhay Yadav. (2017). A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics. American Journal of Remote Sensing, 4(6), 33-39. https://doi.org/10.11648/j.ajrs.20160406.11

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ACS Style

Deepak Kumar; Amit Kumar; Abhay Yadav. A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics. Am. J. Remote Sens. 2017, 4(6), 33-39. doi: 10.11648/j.ajrs.20160406.11

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AMA Style

Deepak Kumar, Amit Kumar, Abhay Yadav. A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics. Am J Remote Sens. 2017;4(6):33-39. doi: 10.11648/j.ajrs.20160406.11

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@article{10.11648/j.ajrs.20160406.11,
  author = {Deepak Kumar and Amit Kumar and Abhay Yadav},
  title = {A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics},
  journal = {American Journal of Remote Sensing},
  volume = {4},
  number = {6},
  pages = {33-39},
  doi = {10.11648/j.ajrs.20160406.11},
  url = {https://doi.org/10.11648/j.ajrs.20160406.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20160406.11},
  abstract = {This paper approaches a technique that helps to find and diagnosing faults in transmission lines using image process technique. Image processing technique is widely used in all area for solving the problems. In this paper, Digital image processing wavelet shrinkage function is use for fault identification and diagnosis. In the other word, take a faulty image from the source like thermo vision camera and real time recording instrument with the co-ordinates of transmission line. Uses the algorithm of digital image processing for segmentation of the image, segmentation divides the image in set of parts and objects, and then apply the wavelet shrinkage function to read the image and give the result. The proposed method provides results that are in terms of PSNR and visual quality. ANFIS is very useful tool to identify the fault condition of the transmission line where this is used the IF-THEN rule by this condition can be easily learn and take best action to remove the fault.},
 year = {2017}
}

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TY  - JOUR
T1  - A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics
AU  - Deepak Kumar
AU  - Amit Kumar
AU  - Abhay Yadav
Y1  - 2017/03/21
PY  - 2017
N1  - https://doi.org/10.11648/j.ajrs.20160406.11
DO  - 10.11648/j.ajrs.20160406.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 33
EP  - 39
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20160406.11
AB  - This paper approaches a technique that helps to find and diagnosing faults in transmission lines using image process technique. Image processing technique is widely used in all area for solving the problems. In this paper, Digital image processing wavelet shrinkage function is use for fault identification and diagnosis. In the other word, take a faulty image from the source like thermo vision camera and real time recording instrument with the co-ordinates of transmission line. Uses the algorithm of digital image processing for segmentation of the image, segmentation divides the image in set of parts and objects, and then apply the wavelet shrinkage function to read the image and give the result. The proposed method provides results that are in terms of PSNR and visual quality. ANFIS is very useful tool to identify the fault condition of the transmission line where this is used the IF-THEN rule by this condition can be easily learn and take best action to remove the fault.
VL  - 4
IS  - 6
ER  -

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Author Information

Deepak Kumar

Department of Electrical and Electronics, C.B.S College of Engineering and Management, Agra, India
Amit Kumar

Department of Electrical and Electronics, C.B.S College of Engineering and Management, Agra, India
Abhay Yadav

School of Engineering, Gutam Buddha University, Greater Noida, India

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Plain Text BibTeX RIS

APA Style

Deepak Kumar, Amit Kumar, Abhay Yadav. (2017). A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics. American Journal of Remote Sensing, 4(6), 33-39. https://doi.org/10.11648/j.ajrs.20160406.11

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ACS Style

Deepak Kumar; Amit Kumar; Abhay Yadav. A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics. Am. J. Remote Sens. 2017, 4(6), 33-39. doi: 10.11648/j.ajrs.20160406.11

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AMA Style

Deepak Kumar, Amit Kumar, Abhay Yadav. A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics. Am J Remote Sens. 2017;4(6):33-39. doi: 10.11648/j.ajrs.20160406.11

Copy | Download

@article{10.11648/j.ajrs.20160406.11,
  author = {Deepak Kumar and Amit Kumar and Abhay Yadav},
  title = {A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics},
  journal = {American Journal of Remote Sensing},
  volume = {4},
  number = {6},
  pages = {33-39},
  doi = {10.11648/j.ajrs.20160406.11},
  url = {https://doi.org/10.11648/j.ajrs.20160406.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20160406.11},
  abstract = {This paper approaches a technique that helps to find and diagnosing faults in transmission lines using image process technique. Image processing technique is widely used in all area for solving the problems. In this paper, Digital image processing wavelet shrinkage function is use for fault identification and diagnosis. In the other word, take a faulty image from the source like thermo vision camera and real time recording instrument with the co-ordinates of transmission line. Uses the algorithm of digital image processing for segmentation of the image, segmentation divides the image in set of parts and objects, and then apply the wavelet shrinkage function to read the image and give the result. The proposed method provides results that are in terms of PSNR and visual quality. ANFIS is very useful tool to identify the fault condition of the transmission line where this is used the IF-THEN rule by this condition can be easily learn and take best action to remove the fault.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - A Flexible Scheme of Fault Sensing in Power Transmission Line Using Artificial Intelligence Technics
AU  - Deepak Kumar
AU  - Amit Kumar
AU  - Abhay Yadav
Y1  - 2017/03/21
PY  - 2017
N1  - https://doi.org/10.11648/j.ajrs.20160406.11
DO  - 10.11648/j.ajrs.20160406.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 33
EP  - 39
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20160406.11
AB  - This paper approaches a technique that helps to find and diagnosing faults in transmission lines using image process technique. Image processing technique is widely used in all area for solving the problems. In this paper, Digital image processing wavelet shrinkage function is use for fault identification and diagnosis. In the other word, take a faulty image from the source like thermo vision camera and real time recording instrument with the co-ordinates of transmission line. Uses the algorithm of digital image processing for segmentation of the image, segmentation divides the image in set of parts and objects, and then apply the wavelet shrinkage function to read the image and give the result. The proposed method provides results that are in terms of PSNR and visual quality. ANFIS is very useful tool to identify the fault condition of the transmission line where this is used the IF-THEN rule by this condition can be easily learn and take best action to remove the fault.
VL  - 4
IS  - 6
ER  -

Copy | Download