WAVELET DETECTION OF PARTIAL DISCHARGES IN HIGH VOLTAGE CABLES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

BADRZADEH B.; SHAHRTASH S.M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ Year:2003 | Volume:1 | Issue:1 Page(s): 29-36

Download Full-Text

Persian Verion

View:

1,206

Download:

Cites:

Information Journal Paper

Title

WAVELET DETECTION OF PARTIAL DISCHARGES IN HIGH VOLTAGE CABLES

Author(s)

BADRZADEH B. | SHAHRTASH S.M. | Issue Writer Certificate

Keywords

PARTIAL DISCHARGESQ2

WAVELET ANALYSISQ3

FAULT DETECTIONQ4

ON-LINE ANALYSISQ4

DIGITAL SIGNAL PROCESSINGQ4

Abstract

This paper has proposed an on-line method of PARTIAL DISCHARGES (PDs) detection. Fundamental difficulty in PD measurement is that PD signal is so minute that can be easily contaminated by huge amount of noise and this makes PD detection rather obscure. Thus, noise reduction algorithms have been extensively deployed to mitigate the noise. Among which, DIGITAL SIGNAL PROCESSING (DSP) techniques are becoming more and more applicable. Compared by linear predictor and Least Mean Square (LMS), a wavelet-based noise reduction algorithm has been utilized. Some significant considerations in wavelet denoising such as selection of level of decomposition and reconstruction, mother wavelets, methods of signal extension, thresholding criterion have been discussed deeply. In order to prove the effectiveness of our algorithm, real data extracted from an 11kV cable has been used.

Cites

No record.

References

No record.

Cite

APA: Copy

BADRZADEH, B., & SHAHRTASH, S.M.. (2003). WAVELET DETECTION OF PARTIAL DISCHARGES IN HIGH VOLTAGE CABLES. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 1(1), 29-36. SID. https://sid.ir/paper/53810/en

Vancouver: Copy

BADRZADEH B., SHAHRTASH S.M.. WAVELET DETECTION OF PARTIAL DISCHARGES IN HIGH VOLTAGE CABLES. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2003;1(1):29-36. Available from: https://sid.ir/paper/53810/en

IEEE: Copy

B. BADRZADEH, and S.M. SHAHRTASH, “WAVELET DETECTION OF PARTIAL DISCHARGES IN HIGH VOLTAGE CABLES,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 1, no. 1, pp. 29–36, 2003, [Online]. Available: https://sid.ir/paper/53810/en

Related Journal Papers