1. Babu, W.R., Ravichandran, C.S., Matheswaran, V. Performance Analysis of Medium Voltage Induction Motor Using Stator Current Profile. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2015, vol. 4, issue 4, pp. 2129–2136.
2. Andreeva, O.A. Razrabotka metodov diagnostiki dvigateley sobstvennykh nuzhd elektricheskikh stantsiy [Development of diagnostic methods for auxiliary motors of power plants: monograph]. Pavlodar: Kereku, 2015. 142 p.
3. Nazarychev, A.N., Novoselov, E.M., Polkoshnikov, D.A., Strakhov, A.S., Skorobogatov, A.A. Metod kontrolya sostoyaniya obmotok rotorov asinkhronnykh elektrodvigateley pri puske po toku statora [Method for monitoring the condition of rotor windings of asynchronous electric motors during starting by stator current]. Defektoskopiya, 2020, no. 8, pp. 49–55.
4. Pineda-Sánchez, M., Riera-Guasp, M., Antonino-Daviu, J., Roger-Folch, J., Pérez-Cruz, J., Puche-Panadero, R. Instantaneous Frequency of the Left Sideband Harmonic During the Start-Up Transient: A New Method for Diagnosis of Broken Bars. IEEE Transactions on Industrial Electronics, 2009, vol. 56, no. 11, pp. 4557–4570.
5. Veynreb, K. Diagnostika neispravnostey rotora asinkhronnogo dvigatelya metodom spektral'nogo analiza tokov statora [Diagnostics of rotor faults of an asynchronous motor by the method of spectral analysis of stator currents]. Elektrichestvo, 2012, no. 7, pp. 51–57.
6. Thomson, W.T., Gilmore, R.J. Motor current signature analysis to detect faults in induction motor drives – Fundamentals, Data Interpretation and Industrial Case Histories. Proceedings of 32nd Turbomachinery Symposium, Texas, A&M University, USA. Texas, USA, September, 2003, pp. 145–156.
7. Jokic, S., Ikic, S. Condition assessment of the induction motor based on vibration and current signature analyzes. International Electrical Testing Association Journal NETAworld, 2018, pp. 66–70.
8. Fernandez-Cavero, V., García-Escudero, L.A., Pons-Llinares, J., Fernández, M.A., Duque-Perez, O., Moríñigo-Sotelo, D. Diagnosis of Broken Rotor Bars during the Startup of Inverter-Fed Induction Motors Using the Dragon Transform and Functional ANOVA. Applied Sciences, 2021, vol. 11, issue 9, pp. 1–12. https://doi.org/10.3390/app11093769 (Accessed 24 February 2025).
9. Romero-Troncoso, R.J., Garcia-Perez, A., Morinigo-Sotelo, D., Duque-Perez, O., Osornio-Rios, R.A., Ibarra-Manzano, M.A. Rotor Unbalance and Broken Rotor Bar Detection in Inverter-Fed Induction Motors at Start-up and Steady-State Regimes by High-Resolution Spectral Analysis. Electric Power Systems Research, 2016, vol. 133, pp. 142–148.
10. Hong-yu, Zhu, Jing-tao, Hu, Lei, G., Hao, H. Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors. Journal of Applied Mathematics, 2013, pp. 1–11. http://dx.doi.org/10.1155/2013/128368 (Accessed 24 February 2025).
11. Zaman, Sh.Md.K., Liang, X., Li, W. Fault Diagnosis for Variable Frequency Drive-Fed Induction Motors Using Wavelet Packet Decomposition and Greedy-Gradient Max-Cut Learning. IEEE Access., 2021, pp. 1–13. Available at: https://www.researchgate.net/publication/351184541_Fault_Diagnosis_for_V... (Accessed 24 February 2025).
12. Lachtar, S., Adel, G., Koussa, K., Bouraiou, A., Attoui, I. Broken Rotor Bar Fault Diagnostic for DTC Fed Induction Motor Using Stator Instantaneous Complex Apparent Power Envelope Signature Analysis. International Journal of Power Electronics and Drive System (IJPEDS), Sep. 2019, vol. 10, no. 3, pp. 1187–1196.
13. Nazarychev, A.N., Zakharov, M.A., Strakhov, A.S., Novoselov, E.M., Polkoshnikov, D.A., Skorobogatov, A.A. O vozmozhnosti provedeniya kontrolya sostoyaniya asinkhronnykh elektrodvigateley s chastotno-reguliruemym privodom metodom spektral'nogo analiza [On the possibility of monitoring the condition of asynchronous electric motors with variable-frequency drives using the spectral analysis method]. Vestnik IGEU, 2024, issue 5, pp. 66–74.
14. Novakov, A.V., Gladkov, V.V. Preobrazovatel' chastoty dlya diagnostiki asinkhronnykh dvigateley [Frequency converter for diagnostics of asynchronous motors]. Izvestiya TulGU. Tekhnicheskie nauki, 2022, issue 3, pp. 153–158.
15. Nazarychev, A.N., Novoselov, E.M., Strakhov, A.S., Skorobogatov, A.A., Korovkin, N.V. Analizator spektra na osnove algoritma avtokorrektsii vremeni zapisi signala [Spectrum analyzer based on the algorithm for automatic correction of the signal recording time]. Nauchno-tekhnicheskie vedomosti SPbPU. Estestvennye i inzhenernye nauki, 2017, vol. 23, no. 4, pp. 98–109.