Abstract
Instantaneous Angular Speed (IAS) has been shown to be an alternative signal to detect bearing faults in geared systems. Detection of the presence of bearing faults in rotating systems requires understanding of the transfer way between the defect and its manifestation in the measured signal. This step is mainly performed by the development of numerical models describing the couplings between the defects and the rest of the device. To the authors’ knowledge, the majority of the models in the literature are lump parameter models, with no regard between the dynamic of the bearing and the rotational degree of freedom of the shaft. The influence that the dynamics of a faulted bearing has over the rotating shaft leading to IAS variations has been presented in a previous work. This influence has been introduced by means of a roller bearing model which dynamics, modified by the defect, introduces torque perturbations to the shaft. The aim of this paper is to couple the faulted bearing model to a multiple gear stage simplified wind turbine transmission. The model is built with a classic finite element approach and is suitable for the test of non-stationary simulations. First results show bearing faults are detectable in different locations of the geared system by the measurement of IAS. Even if experimental validation have not been yet performed, numerical results appear very promising to deepen the understanding of the IAS variation phenomena.
References
André, H., Bourdon, A., & Rémond, D. (2012). Shaft line monitoring based on the instantaneous angular speed observation. In 11th German Wind Energy Conference, DEWEK, Bremen.
Bourdon, A., André, H., & Rémond, D. (2014). Introducing angularly periodic disturbances in dynamic models of rotating systems under non-stationary conditions. Journal Mechanical Systems and Signal Processing, 44, 60–71.
Gomez, J. L., Bourdon, A., André, H., & Rémond, D. (2016). Modelling deep groove ball bearing localized defects inducing instantaneous angular speed variations. Journal Tribology International, 98, 270–281.
Palgrem, A. (1967). Les roulements: Description, théorie et applications (2ème ed.). Paris: S.K.F.
Renaudin, L., Bonnardot, F., Musy, O., Doray, J. B., & Rémond, D. (2010). Natural roller bearing fault detection by angular measurement of true instantaneous angular speed. Journal Mechanical Systems and Signal Processing, 24, 1998–2011.
Sawalhi, N., & Randall, R. (2008). Simulating gear and bearing interactions in the presence of faults Part. 1. The combined gear bearing dynamic models and the simulation of localized bearing faults. Journal Mechanical Systems and Signal Processing, 22, 1924–1951.
Velex, P. (1988). Contribution à l’analyse du comportement dynamique de reducteur à engrenages à axes paralleles. INSA de Lyon, France: Thèse de doctorat.
Acknowledgements
Authors would like to thank Maia Eolis, LaMCoS, and France national research and technology association (ANRT) for funding this research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Gomez, J.L., Khelf, I., Bourdon, A., André, H., Rémond, D. (2018). Simplified Dynamic Model of a Wind Turbine Shaft Line Operating in Non-stationary Conditions Applied to the Analysis of IAS as a Machinery Surveillance Tool. In: Timofiejczuk, A., Chaari, F., Zimroz, R., Bartelmus, W., Haddar, M. (eds) Advances in Condition Monitoring of Machinery in Non-Stationary Operations. CMMNO 2016. Applied Condition Monitoring, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-61927-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-61927-9_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61926-2
Online ISBN: 978-3-319-61927-9
eBook Packages: EngineeringEngineering (R0)