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Vibration Diagnostic Methods of Automatic Transmission Service Requirement Prediction

Author(s): (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
(Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
(Department of Transport Infrastructure, Ukrainian State University of Science and Technologies, UA-49005 Dnipro, Ukraine)
ORCID (Department of Planning and Design of Railway Infrastructure, Technical University Dresden, D-01069 Dresden, Germany)
ORCID (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
ORCID (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
Medium: journal article
Language(s): English
Published in: Infrastructures, , n. 2, v. 8
Page(s): 31
DOI: 10.3390/infrastructures8020031
Abstract:

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.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10722740
  • Published on:
    22/04/2023
  • Last updated on:
    10/05/2023
 
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