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
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Becker-Dombrowsky, Florian Michael ; Kirchner, Eckhard |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Electrical impedance based condition monitoring of machine elements – a systematic review |
| Sprache: | Englisch |
| Publikationsjahr: | 16 September 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 9 Juli 2024 |
| Ort der Erstveröffentlichung: | Lausanne |
| Verlag: | Frontiers Media S.A. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Frontiers in Mechanical Engineering |
| Jahrgang/Volume einer Zeitschrift: | 10 |
| Kollation: | 13 Seiten |
| DOI: | 10.26083/tuprints-00027843 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/27843 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | electrical impedance, condition monitoring, systematic review, load measurement, condition detection, electric properties, EHL |
| ID-Nummer: | Artikel-ID: 1412137 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-278431 |
| Zusätzliche Informationen: | This article is part of the Research Topic: Visualization Techniques in Tribology |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Produktentwicklung und Maschinenelemente (pmd) |
| Hinterlegungsdatum: | 16 Sep 2024 11:29 |
| Letzte Änderung: | 17 Sep 2024 05:27 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Electrical impedance based condition monitoring of machine elements – a systematic review. (deposited 16 Sep 2024 11:29) [Gegenwärtig angezeigt]
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