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Detecting Inter-Turn Short-Circuit Fault in Induction Machine Using High-Order Sliding Mode Observer: Simulation and Experimental Verification

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Abstract

In this article, a fault detection method is proposed for induction machine which suffers from inter-turn short-circuit fault. An induction machine mathematical model with considered fault is developed to study the fault impact. A high-order sliding mode observer is used to estimate rotor flux and three-phase stator current under healthy and faulty conditions. Based on measured and estimated three-phase stator currents comparison, a fault detection method is designed. This comparison produces sets of residuals sensitive to fault. The analysis of these residual signals is used to detect the stator windings damages. Simulation and experimental results are presented to validate the proposed fault detection scheme.

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References

  • Arkan, M. (2000). Stator fault diagnosis in induction motors (Doctoral dissertation, University of Sussex).

  • Benderradji, H., Benamor, A., Chrifi-Alaoui, L., Bussy, P., & Makouf, A. (2012, March). Second order sliding mode induction motor control with a new Lyapunov approach. In 2012 9th International Multi-Conference on Systems, Signals and Devices (SSD), (pp. 1–6). IEEE.

  • Berriri, H., Naouar, M. W., & Slama-Belkhodja, I. (2012). Easy and fast sensor fault detection and isolation algorithm for electrical drives. IEEE Transactions on Power Electronics, 27(2), 490–499.

    Article  Google Scholar 

  • Bhowmik, P. S., Pradhan, S., & Prakash, M. (2013). Fault diagnostic and monitoring methods of induction motor: A review. International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE), 1(1), 1–18.

    Article  Google Scholar 

  • De-Angelo, C. H., Bossio, G. R., Giaccone, S. J., Valla, M. I., Solsona, J. A., & Garca, G. O. (2009). Online model-based stator-fault detection and identification in induction motors. IEEE Transactions on Industrial Electronics, 56(11), 4671–4680.

    Article  Google Scholar 

  • Delgado-Arredondo, P. A., Morinigo-Sotelo, D., Osornio-Rios, R. A., Avina-Cervantes, J. G., Rostro-Gonzalez, H., & de Jesus Romero-Troncoso, R. (2017). Methodology for fault detection in induction motors via sound and vibration signals. Mechanical Systems and Signal Processing, 83, 568–589.

    Article  Google Scholar 

  • Devi, N. R., Sarma, D. V. S., & Rao, P. V. R. (2015). Detection of stator incipient faults and identification of faulty phase in three-phase induction motor-simulation and experimental verification. IET Electric Power Applications, 9(8), 540–548.

    Article  Google Scholar 

  • Duvvuri, S. S., & Detroja, K. (2015, October). Model-based stator interturn short-circuit fault detection and diagnosis in induction motors. In 2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE), (pp. 167–172). IEEE.

  • Edwards, C., Spurgeon, S. K., Tan, C. P., & Patel, N. (2007). Sliding-mode observers. In Mathematical methods for robust and non-linear control, (pp. 221–242). Springer London.

  • Frank, P. M., & Ding, X. (1997). Survey of robust residual generation and evaluation methods in observer-based fault detection systems. Journal of Process Control, 7(6), 403–424.

    Article  Google Scholar 

  • Fridman, L., Li, S., Levant, A., Chen, X., & Yu, X. (2015). Editorial: Sliding-mode based disturbance estimation, attenuation and fault detection. IET Control Theory and Applications, 9(4), 511–514.

    Article  MathSciNet  Google Scholar 

  • Gandhi, A., Corrigan, T., & Parsa, L. (2011). Recent advances in modeling and online detection of stator interturn faults in electrical motors. IEEE Transactions on Industrial Electronics, 58(5), 1564–1575.

    Article  Google Scholar 

  • Gao, Z., Cecati, C., & Ding, S. X. (2015). A survey of fault diagnosis and fault-tolerant techniques part I: Fault diagnosis with model-based and signal-based approaches. IEEE Transactions on Industrial Electronics, 62(6), 3757–3767.

    Article  Google Scholar 

  • Ghanbari, T. (2015). Autocorrelation function-based technique for stator turn-fault detection of induction motor. IET Science, Measurement and Technology, 10(2), 100–110.

    Article  Google Scholar 

  • Guezmil, A., Berriri, H., Sakly, A., & Mimouni, M. F. (2015, March). High order sliding mode observer for inter-turn short-circuit fault detection in induction machine. In 2015 12th International Multi-Conference on Systems, Signals and Devices (SSD), (pp. 1–6). IEEE.

  • Guezmil, A., Berriri, H., Sakly, A., & Mimouni, M. F. (2017). An enhanced high order sliding mode based method for detecting inter-turn short-circuit fault in induction machine with decoupled current control. In Applications of Sliding Mode Control, (pp. 299-329). Singapore: Springer.

  • Henao, H., Capolino, G. A., Fernandez-Cabanas, M., Filippetti, F., Bruzzese, C., Strangas, E., et al. (2014). Trends in fault diagnosis for electrical machines: a review of diagnostic techniques. IEEE Industrial Electronics Magazine, 8(2), 31–42.

    Article  Google Scholar 

  • Lee, H., & Utkin, V. I. (2007). Chattering suppression methods in sliding mode control systems. Annual Reviews in Control, 31(2), 179–188.

    Article  Google Scholar 

  • Levant, A. (2003). Higher-order sliding modes, differentiation and output-feedback control. International Journal of Control, 76(9–10), 924–941.

    Article  MathSciNet  MATH  Google Scholar 

  • Park, J. K., & Hur, J. (2016). Detection of inter-turn and dynamic eccentricity faults using stator current frequency pattern in IPM-type BLDC motors. IEEE Transactions on Industrial Electronics, 63(3), 1771–1780.

    Article  Google Scholar 

  • Park, J. K., Jeong, C. L., Lee, S. T., & Hur, J. (2015). Early detection technique for stator winding inter-turn fault in BLDC motor using input impedance. IEEE Transactions on Industry Applications, 51(1), 240–247.

    Article  Google Scholar 

  • Patel, D. C., & Chandorkar, M. C. (2014). Modeling and analysis of stator interturn fault location effects on induction machines. IEEE Transactions on Industrial Electronics, 61(9), 4552–4564.

    Article  Google Scholar 

  • Schmitt, H. L., Scalassara, P. R., Goedtel, A., & Endo, W. (2015). Detecting bearing faults in line-connected induction motors using information theory measures and neural networks. Journal of Control, Automation and Electrical Systems, 26(5), 535–544.

    Article  Google Scholar 

  • Sellami, T., Berriri, H., Jelassi, S., & Mimouni, M. F. (2013, December). Sliding mode observer-based fault-detection of inter-turn short-circuit in induction motor. In 2013 14th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), (pp. 524–529). IEEE.

  • Shahnazi, R., Zhao, Q., Sari, A. H. A., & Jeinsch, T. (2015, May). Dynamic nonlinear unknown input observer for fault detection of induction motors. In 2015 23rd Iranian Conference on Electrical Engineering, (pp. 823–828). IEEE.

  • Siddique, A., Yadava, G. S., & Singh, B. (2005). A review of stator fault monitoring techniques of induction motors. IEEE Transactions on Energy Conversion, 20(1), 106–114.

    Article  Google Scholar 

  • Toumi, D., Boucherit, M., & Tadjine, M. (2012). Observer-based fault diagnosis and field oriented fault tolerant control of induction motor with stator inter-turn fault. Archives of Electrical Engineering, 61(2), 165–188.

    Article  Google Scholar 

  • Zhang, P., Du, Y., Habetler, T. G., & Lu, B. (2011). A survey of condition monitoring and protection methods for medium-voltage induction motors. IEEE Transactions on Industry Applications, 47(1), 34–46.

    Article  Google Scholar 

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Correspondence to Amal Guezmil.

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Guezmil, A., Berriri, H., Pusca, R. et al. Detecting Inter-Turn Short-Circuit Fault in Induction Machine Using High-Order Sliding Mode Observer: Simulation and Experimental Verification. J Control Autom Electr Syst 28, 532–540 (2017). https://doi.org/10.1007/s40313-017-0314-2

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  • DOI: https://doi.org/10.1007/s40313-017-0314-2

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