Abstract
The mechanical properties of supports in a mechanical system strongly affect its dynamic behavior under real operating conditions. This work presents a new method for identifying the dynamical characteristics of local supports which has been developed along the lines of the work by Özgüven (Mech Syst Signal Process 4:53–63, 1990) and Debut et al. (Proceeding of the 19th international congress on sound and vibration, Vilnius, Lithuania, 2012), which combines measured frequency transfer functions and techniques from structural modifications . As typical for inverse problem , the noise in the frequency transfer functions lead to faulty identifications , so that regularization techniques have been implemented to mitigate noise amplification in the inverse problem . The proposed approach has been then numerically tested on a multi-supported structure, which can be seen as an idealized electricity generator rotor shaft. The results are satisfactory for noise-free data as well as under realistic noise levels.
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Acknowledgments
This work was supported by the Portuguese FCT through the bilateral agreement Portugal/Tunisia 2013–2014.
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Baklouti, A., Antunes, J., Debut, V., Fakhkakh, T., Haddar, M. (2017). An Effective Method for the Identification of Support Features in Multi-supported Systems. In: Fakhfakh, T., Chaari, F., Walha, L., Abdennadher, M., Abbes, M., Haddar, M. (eds) Advances in Acoustics and Vibration. Applied Condition Monitoring, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-41459-1_29
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DOI: https://doi.org/10.1007/978-3-319-41459-1_29
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