Vibration Diagnostic Methods of Automatic Transmission Service Requirement Prediction
Autor(en): |
Péter Őri
(Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
Szabolcs Kocsis Szürke (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary) Dmytro Kurhan (Department of Transport Infrastructure, Ukrainian State University of Science and Technologies, UA-49005 Dnipro, Ukraine) Mykola Sysyn (Department of Planning and Design of Railway Infrastructure, Technical University Dresden, D-01069 Dresden, Germany) István Lakatos (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary) Szabolcs Fischer (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Infrastructures, Februar 2023, n. 2, v. 8 |
Seite(n): | 31 |
DOI: | 10.3390/infrastructures8020031 |
Abstrakt: |
Automatic transmission is a key factor for autonomous driving. The transmission condition is highly affected by the quality and quantity of transmission oil in the system. However, the oil condition is not monitored in the system, and the oil change interval and method are still a subject of discussion. This paper analyzes the effects of oil changes in automatic transmissions. The measurements were carried out before and after the oil change with the same external conditions. With the vibration measurement method, data can be collected without disassembling the parts and during operational conditions. Furthermore, time- and frequency-based analyses were conducted to compare different transmissions’ operations. The results have shown that the effect of oil degradation is measurable on the amplitude of the signals and, therefore, predictable with vibration diagnostics. During the evaluation, the maximum values were compared on measurements with at least a 2-s length. |
Copyright: | © 2023 the Authors. Licensee MDPI, Basel, Switzerland. |
Lizenz: | Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden. |
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22.04.2023 - Geändert am:
10.05.2023