AI in arcing‐HIF detection: a brief review

Author:

Hao Bai1

Affiliation:

1. Power Distribution Technology DepartmentElectric Power Research Institute of China Southern Power GridGuangzhouPeople's Republic of China

Funder

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference71 articles.

1. Detection and location of high‐impedance faults in multi‐conductor overhead distribution lines using power line communication devices;Milioudis A.N.;IEEE Trans. Power Syst.,2015

2. Proposition of an inter‐harmonic‐based methodology for high‐impedance fault detection in distribution systems;Carvalho D.;IET Gener. Transm. Distrib.,2015

3. High‐impedance fault detection in electrical power distribution systems using moving sum approach

4. An artificial intelligence‐based approach for high‐impedance faults analysis in distribution networks;Aziz M.S.A;Int. J. Syst. Dyn. Appl.,2012

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