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The influence of frequency converter settings on the stator current spectrum of an asynchronous motor with rotor winding fault

M.A. Zakharov, A.S. Strakhov, E.M. Novoselov, D.A. Polkoshnikov, A.A. Skorobogatov

Vestnik IGEU, 2026 issue 2, pp. 63—74

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Abstract in English: 

Background. At present, induction motors are increasingly being operated as part of variable‑frequency drives. One of the common types of faults leading to failures is damage of rotor windings. Spectral analysis of the stator current appears to be a promising method for detecting such faults. However, available studies do not pay sufficient attention to frequency converters, although different settings of these converters can yield significantly different spectra in the presence of rotor winding damage. Thus, the ongoing research investigates the influence of the frequency converter on the stator current spectra of induction motors during their startup.

Materials and methods. The study of the operation of AIR71A6 type induction motor integrated into a frequency-controlled drive has been carried out on an experimental stand. A Vesper E4‑8400‑010H frequency converter has been employed as the frequency control unit. To capture the stator current signal, an ENMU device has been utilized. The acquired signals have been transmitted to a laptop via a media converter. To validate the results, the motor’s rotational speed has been simultaneously recorded using an encoder.

Results. Time‑frequency spectra of stator current signals have been obtained for various frequency converter settings. It has been found that the higher the voltage, the closer the harmonic frequency from the fictitious rotor winding is to the fundamental harmonic of the signal during startup. Also, it has been established that the rate of frequency increase at the converter output, depending on the U(f) curve setting, can significantly affect the physical configuration of the spectrum of the induction motor. Harmonics from the fictitious rotor winding appear only in the presence of rotor winding damage, regardless of the frequency converter setting.

Conclusions. The obtained results must be taken into account both during implementation and development of new methods to diagnose the condition of the induction motor rotor winding.

 

References in English: 
  1. Siddiqui, K.M., Sahay, K., Giri, V.K. Health monitoring and fault diagnosis in induction motor – A review. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2014, vol. 3, issue 1, pp. 6549–6565.
  2. 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 the 32nd Turbomachinery Symposium. Texas, USA: A&M University, 2003, pp. 145–156.
  3. Sedunin, A.M., Afanas′ev, D.O., Sidel′nikov, L.G. Kontrol′ tekhnicheskogo sostoyaniya asinkhronnykh dvigateley na osnove spektral′nogo analiza potreblyaemogo toka [Technical condition monitoring of induction motors based on spectral analysis of supply current]. Vestnik Permskogo natsional′nogo issledovatel′skogo politekhnicheskogo universiteta, 2013, issue 12, pp. 15–18.
  4. Thakur, A., Wadhwani, S., Wadhwani, A.K. Motor current signature analysis as a tool for induction machine fault diagnosis. International Journal of Computer Science and Information Technology Research, 2015, vol. 3, issue 3, pp. 309–313.
  5. 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 [A method for monitoring the condition of rotor windings in induction motors during startup using stator current]. Defektoskopiya, 2020, no. 8, pp. 49–55.
  6. Pineda-Sanchez, M., Riera-Guasp, M., Antonino-Daviu, J.A., Roger-Folch, J., Perez Cruz, I., 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, issue 11, pp. 4557–4570.
  7. Sarvarov, A.S., Kuptsov, V.V. Diagnostika asinkhronnykh dvigateley v nestatsionarnykh rezhimakh [Diagnosis of induction motors in non‑stationary regimes]. Mezhvuzovskiy sbornik nauchnykh trudov «Elektrotekhnicheskie sistemy i kompleksy» [Interuniversity collection of scientific papers “Electrical Systems and Complexes”]. Magnitogorsk: MSTU, 2009, issue 16, pp. 144–152.
  8. Fernandez-Cavero, V., García-Escudero, L.A., Pons-Llinares, J., Fernández, M.A., Duque, 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. (Accessed: February 24, 2025).
  9. Romero-Troncoso, R.J., Garcia‐Perez, A., Moríñigo-Sotelo, D., Duque, O., Osornio-Rios, R. 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. Zakharov, M.A., Strakhov, A.S., Novoselov, E.M., Polkoshnikov, D.A., Sulynenkov, I.N., Skorobogatov, A.A. Primenenie preobrazovatelya chastoty dlya diagnostiki asinkhronnykh dvigateley metodom spektral′nogo analiza toka statora [Application of frequency converters for diagnosis of induction motors using stator current spectral analysis]. Vestnik IGEU, 2025, issue 3, pp. 46–60.

 

Key words in Russian: 
асинхронный двигатель, преобразователь частоты, спектральный анализ, ток статора, частотно-регулируемый пуск, оконное преобразование Фурье
Key words in English: 
induction motor, frequency converter, spectral analysis, stator current, frequency-controlled startup, short-time Fourier transform
The DOI index: 
10.17588/2072-2672.2026.2.063-074
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