Fault detection in underground cables by using wavelet technique (WT)‎

Author

Mansur, Ali Hasan Ibrahim

Source

Journal of Al-Azhar University Engineering Sector

Issue

Vol. 13, Issue 48 (31 Jul. 2018)11 p.

Publisher

al-Azhar University Faculty of Engineering

Publication Date

2018-07-31

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Electronic engineering

Topics

Abstract EN

This paper describes a novel fault-detection technique of high voltage underground cables.

Electric power systems have rapidly grown for the past fifty years.

Speedy and precise fault location plays an important role in accelerating system restoration, reducing outage time, reducing great financial loss and significantly improving system reliability.

Therefore, this paper presents a fault detection, classification and fault location estimation method based on Discrete Wavelet Transform for medium voltage 11kV underground cable.

Different faults (Lg, LLg, and LLLg) and at different locations 2km, 4km and 6km of 10km length are simulated by Mat Lab, and then certain selected features of the wavelet transformed signals are used as an input.

From the results, it was found that the percentage error in wavelet Transform output is very less.

Hence, it can be concluded that the proposed technique is able to offer high accuracy in both of the fault classification and fault location.

American Psychological Association (APA)

Mansur, Ali Hasan Ibrahim. 2018. Fault detection in underground cables by using wavelet technique (WT). Journal of Al-Azhar University Engineering Sector،Vol. 13, no. 48.
https://search.emarefa.net/detail/BIM-921085

Modern Language Association (MLA)

Mansur, Ali Hasan Ibrahim. Fault detection in underground cables by using wavelet technique (WT). Journal of Al-Azhar University Engineering Sector Vol. 13, no. 48 (Jul. 2018).
https://search.emarefa.net/detail/BIM-921085

American Medical Association (AMA)

Mansur, Ali Hasan Ibrahim. Fault detection in underground cables by using wavelet technique (WT). Journal of Al-Azhar University Engineering Sector. 2018. Vol. 13, no. 48.
https://search.emarefa.net/detail/BIM-921085

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-921085