Control of gaps in technical structures during ground vibration testing
OBRABOTKAMETALLOV MATERIAL SCIENCE Том 20 № 3 2018 EQUIPMEN . INSTRUM TS Vol. 3 No. 2 2021 Conclusions The conducted research indicates that the nonlinear distortions of the portraits of oscillations may be utilized to detect and localize the gaps in a technical structure. In order to monitor the gaps during the GVT, the subprogram was integrated into the vibration testing software. The subprogram enables one to compute, normalize and plot the portraits of oscillations. In that way, the occurrence and propagation of the gaps may be detected in the course of operating and the GVT of the mechanical structure. The proposed technique might be used to monitor a technical state and operational conditions of technical products if last ones are exposed to one-component harmonic vibrations. The sources of the vibrations are usually unbalanced rotating masses. References 1. Tiwari R. Rotor systems: analysis and identification . Boca Raton, CRC Press, 2017. 1069 p. ISBN 978-1-138- 03628-4. 2. Bachschmid N., Pennacchi P., Tanzi E. Cracked rotors: a survey on static and dynamic behaviour including modelling and diagnosis . Berlin, Heidelberg, Springer-Verlag, 2010. 408 p. ISBN 978-3-642-01485-7. 3. Kostyukov V.N., Naumenko A.P. Osnovy vibroakusticheskoi diagnostiki i monitoringa mashin [Basics of vi- broacoustic diagnostics and monitoring of machines]. Omsk, OmSTU Publ., 2011. 360 p. ISBN 978-5-8149-1101-8. 4. Balitskii F.Ya., Barkov A.V., Barkova N.A. et al. Nerazrushayushchii kontrol’ . T. 7, kn. 2. Vibrodiagnostika [Non-destructive testing. Vol. 7, bk. 2. Vibration-based diagnostics]. Moscow, Mashinostroenie Publ., 2005. 829 p. ISBN 5-217-03298-7. 5. Zhukov R.V. Obzor nekotorykh standartov ISO/TC-108 v oblasti diagnostiki mashinnogo oborudovaniya [An overview of some ISO/TC-108 standards in the field of machinery diagnostics]. Kontrol’. Diagnostika = Testing. Diagnostics , 2004, no. 12, pp. 61–66. 6. Zhuge Qi, Lu Yongxiang, Yang Shichao. Non-stationary modelling of vibration signals for monitoring the condition of machinery. Mechanical Systems and Signal Processing , 1990, vol. 4, iss. 5, pp. 355–365. 7. Lacey S.J. Using vibration analysis to detect early failure of bearings. Insight – Non-Destructive Testing and Condition Monitoring , 2007, vol. 49, no. 8, pp. 444–446. 8. Litak G., Friswell M.I. Dynamics of a gear system with faults in meshing stiffness. Nonlinear Dynamics , 2005, vol. 41, iss. 1–3, pp. 415–421. DOI: 10.1007/s11071-005-1398-y. 9. Vibrodiagnostika aviatsionnykh konstruktsii [Vibrodiagnostics aircraft structures]. Moscow, GosNIIGA Publ., 1986. 95 p. 10. Postnov V.A. Opredelenie povrezhdenii uprugikh sistem putem matematicheskoi obrabotki chastotnykh spektrov, poluchennykh iz eksperimenta [Determination of elastic systems damages by mathematical treatment of frequency spectra obtained from the experiment]. Izvestiya Rossiiskoi akademii nauk. Mekhanika tverdogo tela = Mechanics of Solids , 2000, no. 6, pp. 155–160. (In Russian). 11. Kositsyn A.V. Metod vibrodiagnostiki defektov uprugikh konstruktsii na osnove analiza sobstvennykh form kolebanii [Method of the vibrating diagnostics of deffects of elastic designs on the basis of the analysis own forms of fluctuations]. Pribory i metody izmerenii = Devices and Methods of Measurements , 2011, no. 2 (3), pp. 129–135. (In Russian). 12. Perera R., Fang S.E., Huerta C. Structural crack detection without updated baseline model by single and multi-objective optimization. Mechanical Systems and Signal Processing , 2009, vol. 23, iss. 3, pp. 752–768. DOI: 10.1016/j.ymssp.2008.06.010. 13. Dilena M., Morassi А. Damage detection in discrete vibrating systems. Journal of Sound and Vibration , 2006, vol. 289, pp. 830–850. DOI: 10.1016/j.jsv.2005.02.020. 14. Xu M., Wang S., Jiang Y. Structural damage identification by a cross modal energy sensitivity based mode subset selection strategy. Marine Structures , 2021, vol. 77, pp. 1–22. DOI: 10.1016/j.marstruc.2021.102968. 15. Barbieri N., Barbieri R. Study of damage in beams with different boundary conditions. International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering , 2013, vol. 7, iss. 6, pp. 399–405. 16. Doebling S.W., Farrar C.R., Prime M.B., Shevitz D.W. Damage identification and health monitoring of struc- tural and mechanical systems from changes in their vibration characteristics: a literature review . Technical Report LA-13070-MS. Los Alamos National Laboratory. Los Alamos, NM, 1996. 132 p.
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