Arc Faults in AC and DC Electrical Networks: Challenges, Detection Approaches, Characterization, Modeling and Diagnosis Methods

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 922

Special Issue Editor

Institute Jean Lamour (IJL), University of Lorraine, Lorraine, France
Interests: ultrasons; arc électrique

Special Issue Information

Dear Colleagues,

In industrial and domestic as well as in aeronautic electrical systems, the initiation and repetition of arc faults can cause damages and even fires. Arc faults are challenging to detect for many civil and military applications in AC and DC electrical networks (PV panels, electrical aircraft, etc.). In particular, among protection strategies, the interest in artificial intelligence and machine learning for arc fault diagnosis application is increasing.

This Special Issue will feature the most recent advances in arc fault characterization and diagnosis, including the development of simulation models, location algorithms, sensing devices, detection strategies, and deep learning approaches.

We will invite the related experts to review the paper:

  • Dr. Edwin Milton Calderon Mendoza, Aircraft Contactor Development Engineer, Safran Electrical & Power, France
  • Dr. John Shea, Scientific Advisor, Schneider Electric, USA
  • Dr. Erwann Carvou, IPR, University of Rennes, France
  • Dr. Jean-Mary Martel, Senior Engineer and principal expert in arc fault detection and residual current protection, Siemens AG, Germany
  • Prof. Rencheng Zhang and Ruobo Chu, University of Huaqiao, China
  • Dr. Jonathan Andrea, Head of Electric Arc Department - Research Engineer, IRT Toulouse, France.

Potential contributions can include but are not limited to:

  • Arc fault safety;
  • Arc fault location;
  • Arc interruption;
  • Simulation model;
  • Series arc fault characterization;
  • Sensors for arc fault measurement;
  • Arc fault dataset.

Dr. Patrick Schweitzer
Guest Editor

Manuscript Submission Information

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Keywords

  • arcs fault techniques
  • series arc
  • arc model
  • protection scheme
  • artificial intelligence
  • machine learning
  • monitoring system
  • arc characteristic

Published Papers

There is no accepted submissions to this special issue at this moment.
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