Application of extreme learning machine for underground cable fault location

Publisher： John Wiley & Sons Inc

E-ISSN： 2050-7038|25|12|3227-3247

ISSN： 1430-144x

Source： INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (ELECTRONIC), Vol.25, Iss.12, 2015-12, pp. : 3227-3247

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

A new algorithm for fault location on transmission lines by optimal PMU placement

By  

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (ELECTRONIC), Vol. 25, Iss. 10, 2015-10 ,pp. : 2071-2086

John Wiley & Sons Inc

Access to resources Recommend Favorite

New impedance‐based fault location method for unbalanced power distribution systems

By  

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (ELECTRONIC), Vol. 25, Iss. 6, 2015-06 ,pp. : 1008-1021

John Wiley & Sons Inc

Access to resources Recommend Favorite

Phase current fault component based single‐phase earth fault segment location in non‐solidly earthed distribution networks

By  

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (ELECTRONIC), Vol. 25, Iss. 11, 2015-11 ,pp. : 2713-2730

John Wiley & Sons Inc

Access to resources Recommend Favorite

Modelling Wild-Oat Density in Terms of Soil Factors: A Machine Learning Approach

By Diaz Beatriz   Ribeiro Angela   Bueno Ricardo   Guinea Domingo   Barroso Judit   Ruiz David   Fernadez-Quintanilla Cesar  

Precision Agriculture, Vol. 6, Iss. 2, 2005-04 ,pp. : 213-228

Springer Publishing Company

Access to resources Recommend Favorite

Application and simulation of dual‐mechanical‐port machine in hybrid electric vehicles

By  

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (ELECTRONIC), Vol. 25, Iss. 6, 2015-06 ,pp. : 1083-1099

John Wiley & Sons Inc

Access to resources Recommend Favorite