Detection, Classification, and Estimation of Fault Location on an Overhead Transmission Line Using S-transform and Neural Network

Author： Roy Nabamita Bhattacharya Kesab

Publisher： Taylor & Francis Ltd

E-ISSN： 1532-5016|43|4|461-472

ISSN： 1532-5016

Source： Electric Power Components and Systems, Vol.43, Iss.4, 2015-02, pp. : 461-472

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Transmission Line Fault Classification and Location Using Wavelet Entropy and Neural Network

By Dasgupta Aritra

Electric Power Components and Systems, Vol. 40, Iss. 15, 2012-10 ,pp. : 1676-1689

Taylor & Francis Ltd

Access to resources Recommend Favorite

Estimation of Fault Location and Fault Resistance for Single Line-to-ground Faults in Multi-ring Distribution Network Using Artificial Neural Network

By Al-Shaher Meshal

Electric Power Components and Systems, Vol. 37, Iss. 7, 2009-07 ,pp. : 697-713

Taylor & Francis Ltd

Access to resources Recommend Favorite

New Combined Method for Fault Detection, Classification, and Location in Series-compensated Transmission Line

By Moravej Z. Khederzadeh M. Pazoki M.

Electric Power Components and Systems, Vol. 40, Iss. 9, 2012-06 ,pp. : 1050-1071

Taylor & Francis Ltd

Access to resources Recommend Favorite

An ANN Routine for Fault Detection, Classification, and Location in Transmission Lines

By Coury D. V. Oleskovicz M. Aggarwal R. K.

Electric Power Components and Systems, Vol. 30, Iss. 11, 2002-11 ,pp. : 1137-1149

Taylor & Francis Ltd

Access to resources Recommend Favorite

Fault location in multi-ring distribution network using artificial neural network

By Al-shaher M.A. Sabry M.M. Saleh A.S.

Electric Power Systems Research, Vol. 64, Iss. 2, 2003-02 ,pp. : 87-92

Elsevier

Access to resources Recommend Favorite