Physical modeling and diagnosis of hit of the foreign objects into a rotating system
Abstract
Keywords
Full Text:
PDF (Українська)References
Staszewski, W., Boller, C., Tomlinson, G. Health Monitoring of Aerospace Structures: Smart Sensor Technologies and Signal Processing. John Wiley & Sons Ltd., 2004. 288 p.
Adams, D. Health Monitoring of Structural Materials and Components. Methods with Applications. John Wiley & Sons Ltd., 2007. 475 p.
Adamowicz, M., Żywica, G. Advanced gas turbines health monitoring systems, Diagnostyka, 2018, vol. 19, iss. 2, рр. 77-87.
Pavlovskyi, O., Bouraou, N., Iatsko, L. Multilevel vibration control system of aviation gas-turbine engines. Vibrations in Physical Systems, 2012, no. 25, pp. 323-328.
Pazdrii, O., Bouraou, N. Vibroacoustic Condition Monitoring of the Complex Rotation System Based on Multilevel Signal Processing. Vibrations in Physical Systems, 2020, vol. 31, vo. 2, article id: 2020224. 7 р.
Radkowski, S. Use of vibroacoustical signal in detecting early stages of failures. Eksploatacja i niezawodnosc, 2007, no. 3, pp. 11-18.
Sopilka, Iu. V. Vy`kory`stannya chastotno-chasovy`x peretvoren` Vignera vy`shhy`x poryadkiv u zadachax vibroakusty`chnoyi diagnosty`ky` [Use of higher order Wigner time-frequency transformation for vibroacoustical diagnosis problems]. Naukovi visti NTUU “KPI”, 2005, no. 6, pp. 110-117.
Sopilka, Iu. V. Zastosuvannya bispektral`nogo analizu vibroakusty`chny`x sy`gnaliv dlya diagnostuvannya trishhy`n v lopatkax aviacijny`x dvy`guniv [Use of the bispecral analysis of vibroacoustical signals for diagnosis of cracks of aircraft engines blades]. Naukovi visti NTUU “KPI”, 2015, no. 6, pp. 73-79.
Pan’kiv, Iu. V. Doslidzhennya vibracijny`x procesiv u vidcentrovy`x nasosny`x agregatax z metoyu kontrolyu dy`namiky` rozvy`tku defektiv yix robochy`x kolis ta mizhstupinchaty`x ushhil`nen` [Investigation of vibration processes in centrifugal pumping units in order to control the dynamics of the defects of their working wheels and intermediate seals]. Rozvidka ta rozrobka naftovych I gazovych rodovysch, 2013, no. 4 (49), pp. 75-80.
Klepka, A. Wavelet Based Signal Demodulation Technique for Bearing Fault Detection, Mechanics and Mechanical Engineering, 2011, vol. 15, no. 4, pp. 63-71.
Bouraou, N. O., Yatsko, L. L., Pavlovskyi, O. M., Sopilka, Y. V. Metody tsyfrovoyi obrobky syhnaliv dlya vibratsiynoyi diahnostyky aviatsiynykh dvyhuniv [Methods of digital signal processing for vibration diagnostics of aviation engines]. Kiev, National Aviation University Publ., 2012. 152 p.
Chumak, O. V. Entropii i fraktaly v analize dannykh [Entropies and fractals in data analysis]. Moscow-Izhevsk, NITS "Regulyarnaya i khaoticheskaya dinamika", Institute of Computer Science Publ., 2011. 164 p.
Bouraou, N. I., Ignatovych, C. P., Pazdrii, O. Y. Vykorystannya fraktalnoho analizu chastotno-chasovykh spektriv vibroakustychnykh syhnaliv dlya diahnostyky hazoturbinnykh dvyhuniv [Using fractal analysis of frequency-time spectra of vibroacoustic signals for diagnostics of gas turbine engines], Visnik NTUU KPI. Ser. Radioteh. radioaparatobuduv, 2018, no. 74, pp. 73-83.
DOI: https://doi.org/10.32620/aktt.2021.4sup1.09