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Early damage detection in planetary gear transmission in different operating conditions

Frühzeitige Erkennung von Schäden in Planetenradgetrieben unter verschiedenen Betriebsbedingungen

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Abstract

Planetary gear transmissions are sensitive to various running environmental factors. These external conditions keep these systems often subjected to faults and/or malfunction especially in gears components. So, it is a crucial task to spot in advance all kind of degradation that could lead to a harmful event or accident to the system. In the same context, this study aims to investigate the case of combined faults detection and analyse their impact on the vibration dynamic response in a two stages planetary gear transmission in diverse operating conditions. For this, a Lumped Mass Model (LMM), referred to a real test rig where experimental tests, is established. In this model, the Time Varying Mesh Stiffness (TVMS) were modelled in different frameworks and configurations such as the healthy, the single and the combined damage conditions. After acquiring acceleration signals from the model, time, frequency and order analysis data processing were executed to generate health related data for the planetary gear. Consequently, it is concluded that the system vibration response is sensitive to the internal excitation particularly the case of combined defects. The obtained results show the ability of the developed model to identify the frequency characteristics of defect and the transmission in each configuration. The experimental and simulated results are compared and correlated.

Zusammenfassung

Das Planetengetriebe/Das Umlaufrädergetriebe ist empfindlich gegen verschiedene Umweltfaktoren. Die (Umweltfaktoren) lassen sich in das ganze System und vor allem in den Komponenten des Getriebes eine Störung auslösen. Aus diesem Grund, von Anfang an, ist es sehr wichtig, jede Art von Abbau die eine schädliche Wirkung hat oder zu dem Ausfall des Systems führen könnte, zu erkennen. Gleichzeitig, diese Studie zielt darauf ab, den Fall der kombinierten Fehlererkennung zu untersuchen und deren Auswirkungen auf die schwingungsdynamische Reaktion in einem zweistufigen Planetengetriebe unter verschiedenen Betriebsbedingungen zu analysieren. Dazu, wird ein Modell der konzentrierten Masse (Lumped Mass Model [LMM]), bezogen auf einen realen Prüfstand, in dem, experimentelle Teste durchgeführt werden, erstellt. In diesem Modell wurde die Zeitlich variierende Maschensteifigkeit (Time Varying Mesh Stiffness [TVMS]) in verschiedenen Rahmenbedingungen und Konfigurationen nämlich der Gesundheit, dem Einzel- und dem kombinierten Schadenszustand modelliert. Nach dem Erfassen von Beschleunigungssignalen aus dem Modell, wurden Zeit-, Frequenz- und Ordnungsanalyse-Datenverarbeitungen durchgeführt, um Daten, bezüglich zu der Gesundheit, für das Planetengetriebe zu generieren. Folglich, wird es festgestellt, dass die Schwingungsantwort des Systems ist empfindlich gegen die innere Erregung, ganz besonders, im Fall  von kombinierten Defekten. Die vorliegenden Ergebnisse zeigen die Fähigkeit des entwickelten Modells, die Frequenzeigenschaften von Defekten und die Übertragung in jeder Konfiguration zu identifizieren. Die experimentellen und simulierten Ergebnisse werden verglichen und korreliert.

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Acknowledgements

“The authors would like to acknowledge Project DPI2017-85390‑P funded by the Spanish Ministry of Economy, Industry, and Competitiveness for supporting this research.” Acknowledgment to the University of Cantabria cooperation project for doctoral training of University of Sfax’s students.

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Authors and Affiliations

  1. Mechanics, Modelling and Production Laboratory, National School of Engineers Sfax, BP 1173, 3038, Sfax, Tunisia

    Ayoub Mbarek, Ahmed Hammami, Fakher Chaari & Mohamed Haddar

  2. Department of Structural and Mechanical Engineering, Faculty of Industrial and Telecommunications Engineering, University of Cantabria, Avda. de los Castros s/n, 39005, Santander, Spain

    Ayoub Mbarek, Alfonso Fernández Del Rincon & Fernando Viadero

  3. CNRS, Centrale Lille, UMR 9013—LaMcube—Laboratoire de Mécanique, Multiphysique, Multiéchelle, Univ. Lille, 59000, Lille, France

    Ayoub Mbarek

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  1. Ayoub Mbarek
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  2. Alfonso Fernández Del Rincon
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Correspondence to Ayoub Mbarek.

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Mbarek, A., Fernández Del Rincon, A., Hammami, A. et al. Early damage detection in planetary gear transmission in different operating conditions. Forsch Ingenieurwes 86, 861–874 (2022). https://doi.org/10.1007/s10010-022-00597-9

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