ZAMONAVIY TEXNIKADA ROTORLI SISTEMALARNING DINAMIK BALANSIRLASH USULINI TAKOMILLASHTIRISH

Li, L., Chen, M., Wang, F., & Xu, A. (2022). The influence of rotor adjustment parameters on the dynamic balance of a scale-model rigid variable-speed rotor. Applied Sciences, 12(23), 12125. https://doi.org/10.3390/app122312125

Yao, J., Yang, F., Su, Y., Scarpa, F., & Gao, J. (2020). Balancing optimization of a multiple speeds flexible rotor. University of Bristol & Beijing Key Laboratory of Health Monitoring and Self-recovering for High-end Mechanical Equipment. Retrieved from https://research-information.bris.ac.uk/files/232213082/Balancing_optimization_of_a_multiple_speeds_flexible_rotor_.pdf

Nordmann, R., Knopf, E., Krueger, T., & Abrate, B. (2020). Analysis of the influence coefficient matrix for on-site balancing of flexible rotors (Report 2020:661). Energiforsk. Retrieved from https://energiforsk.se/media/27979/analysis-of-the-influence-coefficient-matrix-for-on-site-balancing-energiforskrapport-2020-661.pdf

Zhou, S., Dyer, S. W., & Shin, K.-k. (2011). Extended influence coefficient method for rotor active balancing during acceleration. Journal of Dynamic Systems, Measurement, and Control, 133(6). https://doi.org/10.1115/1.1651533

Foiles, W. C., Allaire, P. E., & Gunter, E. J. (1998). Review: Rotor balancing. Shock and Vibration Digest, 5, 325-336.

“Review of Rotor Balancing Methods”. (2021). Machines, 9(5), 89. MDPI. https://doi.org/10.3390/machines9050089

“Unbalanced position recognition of rotor systems based on long short-term memory (LSTM)”. (2022). Machines, 12(12), 865. MDPI. https://doi.org/10.3390/machines1212865

“A novel balancing method for rotor based on unsupervised deep learning”. (2021). Semantics Scholar. Retrieved from https://pdfs.semanticscholar.org/78c5/87afc007063fad21abbdd03f.pdf

“RIGID ROTOR DYNAMIC BALANCING WITH THE INFLUENCE COEFFICIENT METHOD”. (2013). Sensors Portal Digest. Retrieved from https://www.sensorsportal.com/HTML/DIGEST/october_2013/P_1432.pdf

“The study of the balancing process for starting rotors in heavy …”. (2023). Sensors — Open Access Journal, 6(4), 85. MDPI. https://doi.org/10.3390/sensors6040085

“Dynamic balancing and vibration analysis of rotor turbines: A case study for thermal power plants”. (2023). Symmetry, 17(5), 743. MDPI. https://doi.org/10.3390/symmetry17050743

“A modified influence coefficient method for balancing unsymmetrical rotor-bearing systems”. (1996). Journal of Sound and Vibration. https://doi.org/10.1006/jsvi.1996.0345

Investigation of the influence coefficient method for balancing of flexible rotors systems (2010). G. R. Hanish (Master’s thesis). Northumbria University. Retrieved from https://researchportal.northumbria.ac.uk/en/studentTheses/investigation-of-the-influence-coefficient-method-for-balancing-o-3

“General influence coefficient algorithm in balancing of rotating machinery”. (2014). ResearchGate. Retrieved from https://www.researchgate.net/publication/26406141_General_Influence_Coefficient_Algorithm_in_Balancing_of_Rotating_Machinery

“Balancing calculation — Influence coefficient method usage”. (n.d.). Dyrobes Help Library. Retrieved from https://dyrobes.com/help1800/Rotor/html/dyro5rxh.htm