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

المؤلف

Mansur, Ali Hasan Ibrahim

المصدر

Journal of Al-Azhar University Engineering Sector

العدد

المجلد 13، العدد 48 (31 يوليو/تموز 2018)11ص.

الناشر

جامعة الأزهر كلية الهندسة

تاريخ النشر

2018-07-31

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الهندسة الكهربائية

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-921085