Becker-Dombrowsky, Florian Michael ; Kirchner, Eckhard (2024)
Electrical impedance based condition monitoring of machine elements – a systematic review.
In: Frontiers in Mechanical Engineering, 2024, 10
doi: 10.26083/tuprints-00027843
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Electrical impedance based condition monitoring of machine elements – a systematic review |
Language: | English |
Date: | 16 September 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 9 July 2024 |
Place of primary publication: | Lausanne |
Publisher: | Frontiers Media S.A. |
Journal or Publication Title: | Frontiers in Mechanical Engineering |
Volume of the journal: | 10 |
Collation: | 13 Seiten |
DOI: | 10.26083/tuprints-00027843 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | 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 at 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. |
Uncontrolled Keywords: | electrical impedance, condition monitoring, systematic review, load measurement, condition detection, electric properties, EHL |
Identification Number: | Artikel-ID: 1412137 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-278431 |
Additional Information: | This article is part of the Research Topic: Visualization Techniques in Tribology |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 16 Department of Mechanical Engineering > Institute for Product Development and Machine Elements (pmd) |
Date Deposited: | 16 Sep 2024 11:29 |
Last Modified: | 30 Sep 2024 09:13 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/27843 |
PPN: | 521780780 |
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