Parameter Identification of Bearing Stiffness for a Centrifugal Compressor Using an Artificial Neural Network
References
- Bachschmid, N., Pennacchi, P. and Tanzi, E. (2010). Rotor testing for crack detection, in N. Bachschmid et al. (Eds), Cracked Rotors, Springer, Berlin/Heidelberg, pp. 37–90.
- Brunetière, N., Zahorulko, A. and Bouyer, J. (2024). Numerical simulation of the behavior of impulse gas seal, Tribology Online 19(4): 360–366, DOI: 10.2474/trol.19.360.
- Chelabi, M., Saga, M., Kuric, I., Basova, Y., Dobrotvorskiy, S., Ivanov, V. and Pavlenko, I. (2022). The effect of blade angle deviation on mixed inflow turbine performances, Applied Sciences 12(8): 3781, DOI: 10.3390/app12083781.
- Dong, L., Zhou, R., Liu, H., Zhang, L., Dai, C., Mao, Y. and Hu, J. (2022). Effect of rotational speed on unstable characteristics of lobe hydrogen circulating pump in fuel cell system, International Journal of Hydrogen Energy 47(50): 21435–21449, DOI: 10.1016/j.ijhydene.2022.04.248.
- Elsamanty, M., Ibrahim, A. and Salman, W. (2023). Principal component analysis approach for detecting faults in rotary machines based on vibrational and electrical fused data, Mechanical Systems and Signal Processing 200: 110559, DOI: 10.1016/j.ymssp.2023.110559.
- Garpelli, L., Alves, D., Cavalca, K. and de Castro, H. (2023). Physics-guided neural networks applied in rotor unbalance problems, Structural Health Monitoring 22(6): 4117–4130, DOI: 10.1177/14759217231163081.
- Gawde, S., Patil, S., Kumar, S., Kamat, P., Kotecha, K. and Abraham, A. (2023). Multi-fault diagnosis of industrial rotating machines using data-driven approach: A review of two decades of research, Engineering Applications of Artificial Intelligence 123(A): 106139, DOI: 10.1016/j.engappai.2023.106139.
- Hato, S. (2023). Rotor Balancing: Fundamentals for Systematic Processes, Springer Vieweg, Berlin/Heidelberg, DOI: 10.1007/9783662660492.
- Hui, W., Yan, G., Shevchenko, S., Shevchenko, M., Humeniuk, T. and Buzoveria, N. (2024). General approach to the construction of non-contact seals dynamic characteristics, Proceedings of the Romanian Academy A 25(4): 325–334, DOI: 10.59277/PRA-SER.A.25.4.09.
- Ivanov, V., Botko, F., Dehtiarov, I., Kocisko, M., Evtuhov, A., Pavlenko, I. and Trojanowska, J. (2022). Development of flexible fixtures with incomplete locating: Connecting rods machining case study, Machines 10(7): 493, DOI: 10.3390/machines10070493.
- Kalkat, M., Yıldırım, S¸. and Uzmay, I. (2003). Rotor dynamics analysis of rotating machine systems using artificial neural networks, International Journal of Rotating Machinery 9(4): 255–262, DOI: 10.1155/S1023621X0300023X.
- Kirchgäßner, B. (2016). Finite elements in rotordynamics, Procedia Engineering 144: 736–750, DOI: 10.1016/j.proeng.2016.05.079.
- Kondus, V., Puzik, R., German, V., Panchenko, V. and Yakhnenko, S. (2020). Improving the efficiency of the operating process of high specific speed torque-flow pumps by upgrading the flowing part design, Journal of Physics: Conference Series 1741(1): 012023, DOI: 10.1088/1742-6596/1741/1/012023.
- Laine, S., Haikonen, S., Tiainen, T. and Viitala, R. (2023). Rotor resonance avoidance by continuous adjustment of support stiffness, International Journal of Mechanical Sciences 270: 109092, DOI: 10.1016/j.ijmecsci.2024.109092.
- Lee, D.-S. and Choi, D.-H. (1997). A dynamic analysis of a flexible rotor in ball bearings with nonlinear stiffness characteristics, International Journal of Rotating Machinery 3(2): 73–80, DOI: 10.1155/S1023621X97000080.
- Ma, L., Wang, J. and Li, C. (2021). Vibration suppression of a rotor system with a nonlinear MR damper, Archive of Applied Mechanics 91(9): 4053–4068, DOI: 10.1007/s00419-021-01993-3.
- Makivskyi, O., Kondus, V., Pitel, J., Sotnyk, M., Andrusiak, V., Polkovnychenko, V. and Musthai, M. (2024). The influence of the design features of the submersible pump rotor on the vibration reliability, Journal of Engineering Sciences (Ukraine) 11(1): D1–D9, DOI: 10.21272/jes.2024.11(1).d1.
- Manikandan, R. and Rajasekhara, R. (2025). Fault classification in rotor-bearing system using advanced signal processing and machine learning techniques, Results in Engineering 25: 103892, DOI: 10.1016/j.rineng.2024.103892.
- Nogill, P. (2019). A new single-plane balancing method based on equations of motion, Journal of the Korean Society for Precision Engineering 36(6): 583–590, DOI: 10.7736/KSPE.2019.36.6.583.
- Pavlenko, I., Neamtu, C., Verbovyi, A., Pitel, J., Ivanov, V. and Pop, G. (2019). Using computer modeling and artificial neural networks for ensuring the vibration reliability of rotors, 2nd International Workshop on Computer Modeling and Intelligent Systems (CMIS 2019), Aachen, Germany, pp. 702–716.
- Pavlenko, I. and Symonovskyi, V. (2015). Critical Frequencies of the Rotor, Computer program, Certificate of Authorship No. 59855, Ukraine.
- Ran, L., Halim, D., Thein, C. and Galea, M. (2024). Lateral vibration attenuation of a rotor system using an axial control mechanism with resonance detuning, Mechanical Systems and Signal Processing 211: 111220, DOI: 10.1016/j.ymssp.2024.111220.
- Rao, J. (2011). Finite element methods for rotor dynamics, in J. Rao (Ed.), History of Rotating Machinery Dynamics, Springer, Dordrecht, pp. 269–297.
- Roshchupkin, O. and Pavlenko, I. (2025). EVROC: Evaluation of Rotor’s Critical Frequencies—Calculation of Rotor Critical Frequencies, Computer program, Certificate of Authorship No. 7541, Ukraine.
- Stelmakh, A., Kostyunik, R., Mikosianchyk, O., Kushchev, A., Ibraimov, T., Sydorenko, O., Zaichuk, N. and Shymchuk, S. (2023). Improvement of operational parameters for precision rolling bearings by cleaning working surfaces from micro pollution of various nature, Journal of Engineering Sciences 10(1): A31–A40, DOI: 10.21272/jes.2023.10(1).a5.
- Suryawanshi, G.L., Patil, S.K. and Desavale, R.G.(2025). Fault diagnosis in rotor-bearing systems using ANN-based vibration analysis for Industry 4.0 machinery condition monitoring, in A. Kumar et al. (Eds) Advances in Design and Automation, ICFAMMT 2024, Springer, Singapore, pp. 289–303, DOI: 10.1007/978-981-97-5621-6 22.
- Tarelnyk, V. and Martsynkovskyy, V. (2014). Upgrading of pump and compressor rotor shafts using combined technology of electroerosive alloying, Applied Mechanics and Materials 630: 397–412, DOI: 10.4028/www.scientific.net/AMM.630.397.
- Yu, Z., Shevchenko, S., Radchenko, M., Shevchenko, O. and Radchenko, A. (2022). Methodology of designing sealing systems for highly loaded rotary machines, Sustainability 14(23): 15828, DOI: 10.3390/su142315828.
- Zahorulko, A., Pozovnyi, O. and Peczkis, G. (2023). Experimental and CFD analysis of static and dynamic rotor stabilities in three-annular seals, Tribology International 185: 108566, DOI: 10.1016/j.triboint.2023.108566.
- Zhang, S., Xing, Y., Xu, H., Pei, S. and Zhang, L. (2020). An experimental study on vibration suppression of adjustable elliptical journal bearing-rotor system in various vibration states, Mechanical Systems and Signal Processing 141: 106477, DOI: 10.1016/j.ymssp.2019.106477.
Language: English
Page range: 505 - 525
Submitted on: Jul 15, 2025
Accepted on: Mar 18, 2026
Published on: Sep 19, 2026
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2026 Ivan Pavlenko, Oleksandr Roshchupkin, Marek Ochowiak, Andzelika Krupińska, Michał Doligalski, Jacek Tkacz, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.