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Modeling and Diagnosis of Induction Machines Operating under Open-Phase Fault

  • ELECTROMAGNETIC METHODS
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Abstract

This paper presents a new approach for the modeling and diagnosis of the induction machines (IM) operation under open-phase fault. This fault condition is considered as the most serious one since it produces significant pulsating torque, significant losses, vibration, noise and an excessive heating of the machine. Moreover, it conducts to interturn fault according to the excessive heating of stator windings. As an early detection of open-phase fault is mandatory, particularly attention has been given in the literature to the modeling and diagnosis of IM operating under this faulty condition. In this context, we suggest a new approach for the modeling of the IM operation under open-phase fault using a state model. In asymmetrical star connected IM, the common point voltage differs from zero. As a result, the stator voltages differ from the network simple voltages. For this reason, we use line to line voltages, which are imposed by the network, as inputs in the state model of the machine. Several advantages of the proposed approach can be noted. It can be extended for the analysis of faulty induction machines. In addition, the space and time harmonics can be taken into account. Moreover, magnetic saturation, skin effect, skewed rotor and slotting effects can be integrated in the calculation of the machine inductances. It also offers a good compromise between modeling precision and simulation time. With this approach, open-phase signatures can be extracted on mechanical speed, electromagnetic torque, machine common point voltage, stator currents and fluxes. The obtained results show good agreement with other results which have been obtained using other approaches such as finite elements and symmetrical components methods. The contribution of this work is that the induction machine state equations, machine currents, machine common point voltage are established for open-phase fault condition and a state model is derived for the analysis of the IM operating under this faulty condition. Simulation and experimental results shows the consistency and the applicability of the proposed approach for the modeling of IM operation under Open-phase fault comparatively with previous works.

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REFERENCES

  1. Xiaodong, L. and Kenneth, E., Condition monitoring techniques for induction motors, IEEE Ind. Appl. Soc. Annu. Meet. (Cincinnati, 2017), pp. 1–10.

  2. Arfat, S., Yadava, G.S., and Bhim, S., A review of stator fault monitoring techniques of induction motors, IEEE Trans. Energ. Convers., 2005, vol. 20, no. 1, pp. 106–114.

    Article  Google Scholar 

  3. Rangarajan, M.T., Sang, B.L., Greg, C.S., Gerald, B.K., Jiyoon, Y.A., and Thomas, G.H., Survey of methods for detection of stator-related faults in induction machines, IEEE Trans. Ind. Appl., 2007, vol. 43, no. 4, pp. 920–933.

    Article  Google Scholar 

  4. Friednch, W.F., Some diagnosis methods for voltage source inverters in variable speeddrives with induction machines a survey, 29th Annu. Conf. IEEE Ind. Electron. Soc. (Roanoke, 2003), pp. 1378–1385.

  5. Kareem, A.N., Marina, E.K., Ahmed, M.A., Cyrille, C., Bernhard, F.F., and Detlef, H., Signature analysis as a medium for faults detection in induction motors, Int. Conf. Comput. Sci. Eng. (Kuwait, 2018).

  6. Xiaodong, L., Mohammad, Z.A., and Huaguang, Z., Induction motors fault diagnosis using finite element method: a review, IEEE Trans. Ind. Appl., 2020, vol. 56, no. 2, pp. 1205–1217.

    Article  Google Scholar 

  7. Schreier, L., Chomat, M., and Klima, J., Analysis of three-phase induction machine operation under two-phase supply, IEEE Int. Conf. Ind. Technol. (Bangkok, 2002), pp. 107–112.

  8. Daniel, U.C., José, A.P., Diego, and Edgar, R.E., Diagnosis of open-switch faults in variable speed drives by stator current analysis and pattern recognition, IET Electr. Power Appl., 2013, vol. 7, no. 6, pp. 509–522.

    Article  Google Scholar 

  9. Anupama, S. and Priya, S., Open circuit switch fault diagnosis methods for VSI fed induction, 3rd Int. Conf. Adv. Comput. Commun. Syst. (Coimbatore, 2016), pp. 22–23.

  10. Keting, H., Zhigang, L., Ibrahim, A.T., and Tao, C., Fault diagnosis and tolerance with low torque ripple for open-switch fault of IM drives, IEEE Trans. Transp. Electrif., 2020, vol. 7, no. 1, pp. 1–13.

    Google Scholar 

  11. Ignacio, M., Daniel, M., Oscar, D.P., and Rene, J.R., An experimental comparative evaluation of machine learning techniques for motor fault diagnosis under various operating conditions, IEEE Trans. Ind. Appl., 2018, vol. 54, no. 3, pp. 2215–2224.

  12. Ioannis, K.P. and Joya, C.K., Delta connected induction motor drive analysis under open switch converter fault, 2014 Int. Conf. Electr. Mach. (ICEM) (Berlin, 2014), pp. 2355–2361.

  13. Jasim, O., Gerada, C., Sumner, M., and Arellano, P.J., Investigation of induction machine phase open circuit faults using a simplified equivalent circuit model, Proc. 2008 Int. Conf. Electr. Mach. (Vilamoura, 2008).

  14. Rajnish, C., Akhil, V.B., and Jagadanand, G., Modelling and detection of stator incipient open circuit fault in three-phase induction motor, 2018 IEEE Int. Conf. Power Electron. Drives Energ. Syst. (Chennai, 2018).

  15. Mon-Nzongo, D.L., Ipoum-Ngome, P.G., Jinquan, T., Rodolfo, C.F., Jin, T., and Song-Manguelle, J., Open-loop validation of a decoupled model of an induction motor supplied by a PWM inverter, 2019 IEEE 13th Int. Conf. Power Electron. Drive Syst. (Toulouse, 2019).

  16. Heinrich, T.E., Roland, S., Annette, M., and Elias, G.S., Post-fault operation strategy for single switch open circuit faults in electric drives, 2016 IEEE Energ. Convers. Congress Expo. (Milwaukee, 2016).

    Google Scholar 

  17. Jannati, M. and Fallah, E., Modeling and vector control of unbalanced induction motors (faulty three phase or single phase induction motors), 1st Power Electron. Drive Syst. Technol. Conf. (Tehran, 2010).

  18. Jannati, M., Idris, N., and Aziz, M., A new method for rfoc of induction motor under open-phase fault, 2013 IEEE Stud. Conf. Res. Develop. (Putrajaya, 2013), pp. 2530–2535.

    Google Scholar 

  19. Arafa, S.M. and Ayman, A.A., Proposed open-circuit faults detection using control charts technique, 21st Int. Middle East Power Syst. Conf. (Cairo, 2019), pp. 158–163.

  20. Hajary, A., Kianinezhad, R., Seifossadat, S.G., Mortazavi, S.S., and Saffarian, A., Detection and localization of open-phase fault in three-phase induction motor drives using second order rotational park transformation, IEEE Trans. Power Electron., 2019, vol. 34, no. 11, pp. 11241–11252.

    Article  Google Scholar 

  21. Hu, K., Liu, Z., Tasiu, I.A., and Chen, T., Fault diagnosis and tolerance with low torque ripple for open-switch fault of IM drives, IEEE Trans. Transp. Electrif., 2021, vol. 7, no. 1, pp. 133–146.

    Article  Google Scholar 

  22. Sala, G., Mangoni, M., Rizzoli, G., Degano, M., and Tani, A., Impact of star connection layout son the control of multiphase induction motor drives under open-phase fault, IEEE Trans. Power Elecron., 2021, vol. 36, no. 4, pp. 3717–3726.

    Article  Google Scholar 

  23. Shi, S., Sun, Y., Li, X., Dan, H., and Su, M., Moving integration filter-based open-switch fault-diagnosis method for three-phase induction motor drive systems, IEEE Trans. Transp. Electrif., 2020, vol. 6, no. 3, pp. 1093–1103.

    Article  Google Scholar 

  24. Sinisa, D., Damian, S.V., and Alexander, C.S., Investigation of wound rotor induction machine vibration signal under stator electrical fault conditions, J. Eng., 2014, vol. 2014, no. 5, pp. 248–258.

    Article  Google Scholar 

  25. Hew, W.P. and Khalaf, S.G., Detection of induction motor faults using direct wavelet transform technique, 15th Int. Conf. Electr. Mach. Syst. (Sapporo, 2012).

  26. Devi, N.R., Diagnosis and classification of stator winding insulation faults on a three-phase induction motor using wavelet and MNN, IEEE Trans. Dielectr. Electric. Insul., 2016, vol. 23, no. 5, pp. 2543–2555.

    Article  Google Scholar 

  27. Abul Masrur, M., Chen, Z., and Murphey, Y., Intelligent diagnosis of open and short circuit faults in electric drive inverters for real-time applications, IET Power Electron., 2010, vol. 3, no. 2, pp. 279–291.

    Article  Google Scholar 

  28. Negin, L. and Javad, P., Detection and discrimination of stator intertum fault and unbalanced supply voltage fault in induction motor using neural network, 6th Int. Power Electron. Drive Syst. Technol. Conf. (Tehran, 2015), pp. 275–280.

  29. Palacios, R.H.C., Godoy, W.F., Goedtel, A., da Silva, I.N., Morinigo-Sotelo, D., and Duque-Perez, O., Time domain diagnosis of multiple faults in three phase induction motors using intelligent approaches, 2017 IEEE 11th Int. Symp. Diagn. Electr. Mach. Power Electron. Drives (Tinos, 2017), pp. 85–89.

  30. Mohammad, Z.A., Nasmus, S.K.S., Xiaodong, L., Yu, Z., and Ting, H., Machine learning-based fault diagnosis for single and multi-faults in induction motors using measured stator currents and vibration signals, IEEE Trans. Ind. Appl., 2019, vol. 55, no. 3, pp. 2378–2391.

    Article  Google Scholar 

  31. Wang, Y.J., Lee, M.H., and Sung, S.W., An analytical modeling of pulsating torques of induction motors caused by supply voltage unbalance, Int. Conf. Util. Exhib. Power Energ. Syst. (Pattaya City, 2011), pp. 1–6.

  32. Raj, C.T., Agarwal, P., and Srivastava, S.P., Performance analysis of a three-phase squirrel-cage induction motor under unbalanced sinusoidal and balanced non-sinusoidal supply voltages, Int. Conf. Power Electron. Devices Energ. Syst. (New Delhi, 2006), pp. 1–4.

  33. Akpama, E.J., Okoro, O.I., and Chikuni, E., Simulation of the performance of induction machine under unbalanced source voltage conditions, Pac. J. Sci. Technol., 2010, vol. 11, no. 1, pp. 9–15.

    Google Scholar 

  34. Mohammed, O.A., Abed, N.Y., and Ganu, S., Modeling and characterization of induction motor internal faults using finite element and discrete wavelet transforms, IEEE Trans. Magn., 2006, vol. 42, no. 10, pp. 3434–3436.

    Article  Google Scholar 

  35. Lebaroud, A. and Clerc, G., Analysis of stator short faults for induction machine using finite element modeling, 7th Int. Multi-Conf. Sign. Devices (Amman, 2010), pp. 1–4.

    Google Scholar 

  36. Krause, P.C., Analysis of Electric Machinery, New York: McGraw-Hill, 1987.

    Google Scholar 

  37. Kouchih, D., Boumalha, N., Tadjine, M., and Boucherit, M.S., New approach for the modeling of induction machines operating under unbalanced power system, Int. Trans. Electr. Energ. Syst., 2016, vol. 26, no. 9, pp. 1832–1846.

    Article  Google Scholar 

  38. Kouchih, D., Hachelaf, R., and Boumalha, N., Discrimination of unbalanced supply and stator interturn faults in induction machines, 4th Int. Conf. Electr. Eng. Control Appl. (Constantine, 2019).

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Kouchih, D., Hachelaf, R. Modeling and Diagnosis of Induction Machines Operating under Open-Phase Fault. Russ J Nondestruct Test 58, 617–625 (2022). https://doi.org/10.1134/S1061830922070063

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  • DOI: https://doi.org/10.1134/S1061830922070063

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