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SYSTEMATIC REVIEW article

Front. Mech. Eng.
Sec. Tribology
Volume 10 - 2024 | doi: 10.3389/fmech.2024.1412137
This article is part of the Research Topic Visualization Techniques in Tribology View all 5 articles

Electrical impedance based condition monitoring of machine elements a systematic review

Provisionally accepted
Florian Michael Becker-Dombrowsky Florian Michael Becker-Dombrowsky *Eckhard Kirchner Eckhard Kirchner
  • Darmstadt University of Technology, Darmstadt, Germany

The final, formatted version of the article will be published soon.

    Condition monitoring of machine elements becomes more important over the last years. Different approaches to detect failures in mechanical components have been developed. All these methods are located ats a distance from the point of interest, the observed machine element. This leads to uncertainties in the data, which influences the data quality negatively. Using the electrical impedance for condition monitoring enables in-situ measurement with reduced uncertainties and higher data quality. In the last years, research considering this topic was done, but a systematic overview is missing. In this article, a systematic literature research according to the PRISMA approach is fulfilled. The main questions are, what application fields for electrical impedance-based condition monitoring approaches exists and which research gaps are not addressed yet. At the end, 21 articles are categorized in their application fields. Analyzing their content, research questions are identified which have to be addressed in further investigations.

    Keywords: electrical impedance1, condition monitoring2, Systematic Review3, load measurement4, condition detection5, electric properties, EHL

    Received: 04 Apr 2024; Accepted: 13 Jun 2024.

    Copyright: © 2024 Becker-Dombrowsky and Kirchner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Florian Michael Becker-Dombrowsky, Darmstadt University of Technology, Darmstadt, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.