Fault Diagnosis and Electronic Engineering in Symmetry

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 684

Special Issue Editor


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Guest Editor
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Interests: electromagnetic phenomena; underground cables; partial discharges; insulation; active power-line conditioner; harmonics compensation; fault diagnostics
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Special Issue Information

Dear Colleagues,

Symmetry is a fundamental feature in the scientific and engineering world. In the context of fault diagnosis, symmetry can be related to the classification of fault types. For example, in power systems where the faults need to be detected by electronic devices, symmetrical faults denote a type of fault where the parameters of the three-phase circuit are symmetrical. In the broader context of electronic system fault diagnosis, this symmetry-based fault classification method can also be utilized to identify and handle faults more accurately.

Intelligent diagnosis employs artificial intelligence and machine learning techniques to enhance the accuracy and efficiency of fault diagnosis. By training models to recognize fault patterns, the rapid identification and location of faults can be achieved. The models usually have a symmetrical nature by their own.

Contributions covering the symmetry of fault characteristics or diagnostic methods are welcome.

Dr. Yan Li
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • electronic degradation
  • fault diagnostics
  • fault location
  • lifespan prediction
  • status evaluation
  • symmetrical fault
  • system reliability

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Published Papers (1 paper)

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Research

11 pages, 3534 KiB  
Article
Arc Fault Location for Photovoltaic Distribution Cables Based on Time Reversal
by Jingang Su, Xingwang Huang, Peng Zhang, Xianhai Pang, Yuwei Liang, Longxiang Zhang, Yanfei Bai and Yan Li
Symmetry 2025, 17(2), 240; https://doi.org/10.3390/sym17020240 - 6 Feb 2025
Viewed by 542
Abstract
The direct current (DC) cable serves as the link for energy output in photovoltaic (PV) systems. Its degradation can cause arcs, which easily lead to fire accidents. Locating arc faults, however, is challenging. To cope with it, this paper proposes an arc location [...] Read more.
The direct current (DC) cable serves as the link for energy output in photovoltaic (PV) systems. Its degradation can cause arcs, which easily lead to fire accidents. Locating arc faults, however, is challenging. To cope with it, this paper proposes an arc location method based on time reversal. The method has been tried to locate system fault. However, its application in the arc fault location of photovoltaic systems is seldom discussed and needs further research. For this purpose, the voltage waveforms of an arc fault collected at one of the cable ends is reversed. This transformation derives a symmetrical arc fault signal. Afterwards, the reversed signal is injected back into the cable to trace the fault location, which is a symmetrical process of the arc fault signal travelling from its origin to the detection point. Utilizing the energy-focusing characteristics of time reversal, the position with the highest energy in the derived waveform corresponds to the actual fault location. To verify the proposed method, a DC arc fault test is performed to obtain the wave characteristics. The Paukert arc model is chosen based on the tested result. A PV system containing a DC cable with an arc fault is simulated with Simulink with the affecting factors, i.e., grounded resistance, cable length, fault location and sampling frequency. The simulated results demonstrate that the localization error is within 5% in the worst case. Full article
(This article belongs to the Special Issue Fault Diagnosis and Electronic Engineering in Symmetry)
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