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Insulation Monitoring and Diagnosis of Electrical Equipment

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: 20 October 2025 | Viewed by 391

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Guest Editor
R&D Department, Gnarus Institute, Itajubá 37500-052, Brazil
Interests: intelligent systems; non-classical logic; power systems
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Special Issue Information

Dear Colleagues,

Electrical machines are the base of the modern industry. The control of these machines allows production not to be interrupted untimely, nor to cause problems in the final product. This control must consider several items, such as the age of electrical machines, the type of effort and its periodicity, and the electrical and mechanical stresses it is subjected to, among many others. In this way, it is also possible to monitor the degradation of the quality of the machine's insulation, which is the main element of reducing the useful life of an electrical machine. This wear and tear on the insulation of electrical machines can be measured directly and indirectly when the machines are stationary or in operation.

We are pleased to invite you to submit articles with your research review for this special issue, which aims to monitor insulation and diagnose electrical equipment.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  1. Insulation of electrical machines (motors, generators, transformers, power cables, among others),
  2. Methods to detect problems in electrical machine insulation and to provide a diagnosis (including partial discharge techniques, frequency response analysis, vibroacoustic methods, frequency domain dielectric spectroscopy, among others);
  3. Detection and modelling of incipient insulation failures or early detection and localization of faults;
  4. Condition-based maintenance of electrical machines;
  5. New sensors or collection of sensors for direct or indirect insulation measurement,
  6. Strategies of measurements and the visualization of the measurement data coming from different types of sensors
  7. Insulation of residential electrical machines and equipment and protection devices.

Original work highlighting the latest research and technical development is encouraged, but review papers and comparative studies are also welcome. 

Prof. Dr. Germano Lambert-Torres
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • electrical insulation
  • monitoring insulation
  • diagnosis
  • measuerement strategies of insulation
  • sensors for insulation measurements
  • failure patterns
  • fault detection

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Published Papers (1 paper)

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Research

16 pages, 4317 KiB  
Article
Comparative Analysis of Distribution Transformers with Varying Ratings and Insulation States via Frequency Domain Spectroscopy and Capacitance Ratio
by Miroslav Gutten, Daniel Korenciak, Roman Konarik and Jan Kanuch
Appl. Sci. 2025, 15(9), 4715; https://doi.org/10.3390/app15094715 - 24 Apr 2025
Viewed by 120
Abstract
This paper presents a comparative analysis of distribution transformers with varying power ratings and insulation conditions using Frequency Domain Spectroscopy (FDS). The investigation was conducted both by comparing transformers with different performance ratings (from 100 to 1000 kVA) and insulation quality at a [...] Read more.
This paper presents a comparative analysis of distribution transformers with varying power ratings and insulation conditions using Frequency Domain Spectroscopy (FDS). The investigation was conducted both by comparing transformers with different performance ratings (from 100 to 1000 kVA) and insulation quality at a constant ambient temperature, and by evaluating insulation properties of a transformer across varying temperatures. The FDS method allows for separate assessments of oil quality and moisture content in solid insulation. An advantage of using capacitance measured by FDS for insulation assessment is its relatively lower sensitivity to temperature variations compared to the loss factor, a finding confirmed by temperature-effect analyses. However, assessing transformer insulation via capacitance measurements is influenced by the insulation’s geometric configuration, which depends on the transformer type and power rating. Therefore, when comparing the quality of insulating parts of transformers with different powers, it is recommended to compare the capacitance ratio depending on low frequencies against the capacitance at 50 Hz. Full article
(This article belongs to the Special Issue Insulation Monitoring and Diagnosis of Electrical Equipment)
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