Incipient Inter-Turn Short Circuit Fault Estimation Based on a Faulty Model Observer and ANN-Method for Induction Motor Drives

Author(s): Mohamed Bouakoura*, Mohamed-Said Naït-Saïd, Nasreddine Nait-Said

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

Volume 12 , Issue 4 , 2019

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Graphical Abstract:


Background: According to statistics, short circuit faults are the second most frequent faults in induction motors. Thus, in this paper, we investigated inter turn short circuit faults in their early stage.

Methods: A new equivalent model of the induction motor with turn to turn fault on one phase has been developed. This model has been used to establish two schemes to estimate the severity of the short circuit fault. In the first scheme, the faulty model is considered as an observer, where a correction of an error between the measured and the estimated currents is the kernel of the fault severity estimator. However, to develop the second method, the model was required only in the training process of an artificial neural network (ANN). Since stator faults have a signature on symmetrical components of phase currents, the magnitudes and angles of these components were used with the mean speed value as inputs of the ANN. A simulation on MATLAB of both techniques has been performed with various stator frequencies.

Results: The suggested schemes prove a unique efficiency in the estimation of incipient turn to turn fault. Besides, the ANN based scheme is less complex which reduces its implementation cost.

Conclusion: To monitor the stator of an induction motor, the choice of the appropriate algorithm should be done according to the system in which the motor will be installed. If the motor is directing connected to the grid or fed via an inverter with a variable DC bus voltage, the observer would be better, otherwise, the ANN algorithm is recommended.

Keywords: Artificial neural network, faulty model, fault severity estimation, incipient inter turn short circuit fault, induction motor, symmetrical components.

P. Zhang, Y. Du, T.G. Habetler, and B. Lu, "A survey of condition monitoring and protection methods for medium-voltage induction motors", IEEE Trans. Ind. Appl., vol. 47, pp. 34-46, 2011.
S. Bindu, and V.V. Thomas, "Diagnoses of internal faults of three phase squirrel cage induction motor - A review, In:", Proc. 2014 Int. Conf. Adv. Energy Convers. Technol. - Intell. Energy Manag. Technol. Challenges, ICAECT. pp. 48-54. 2014.
M. Sahraoui, S. Zouzou, A. Ghoggal, and S. Guedidi, "A new method to detect inter-turn short-circuit in induction motors", 19th Int. Conf. Electr. Mach. ICEM. 2010.
S. Das, P. Purkait, and S. Chakravorti, "Separating induction motor current signature for stator winding faults from that due to supply voltage unbalances", 1st Int Conf Power Energy NERIST, ICPEN- Proc, 2012 0-5
A. Lebaroud, and A. Medoued, "Online computational tools dedicated to the detection of induction machine faults", Int. J. Electr. Power Energy Syst., vol. 44, pp. 752-757, 2013.
R. Sharifi, and M. Ebrahimi, "Detection of stator winding faults in induction motors using three-phase current monitoring", ISA Trans., vol. 50, pp. 14-20, 2011.
M.B.K. Bouzid, and G. Champenois, "New expressions of symmetrical components of the induction motor under stator faults", IEEE Trans. Ind. Electron., vol. 60, pp. 4093-4102, 2013.
M. Bouzid, and G. Champenois, "An efficient, simplified multiple-coupled circuit model of the induction motor aimed to simulate different types of stator faults", Math. Comput. Simul., vol. 90, pp. 98-115, 2013.
S. Chattopadhyay, S. Karmakar, M. Mitra, and S. Sengupta, "Symmetrical components and current concordia based assessment of single phasing of an induction motor by feature pattern extraction method and radar analysis", Int. J. Electr. Power Energy Syst., vol. 37, pp. 43-49, 2012.
H. Liangliang, S. Yuguang, and Q. Ami, "Analysis on the negative sequence impedance directional protection for stator internal fault of turbo generator, In:", Int. Conf. Electr. Mach. Syst. Incheon, South Korea, pp. 1421-1424, 2010.
Y. Zhao, Y. Chen, L. Wang, A.U. Rehman, Y. Cheng, Y. Zhao, B. Han, and T. Tanaka, "Experimental research and feature extraction on stator inter-turn short circuit fault in DFIG, In:", Proc. 2016 IEEE Int. Conf. Dielectr. ICD. Montpellier, France, vol. 1, 2016, pp. 510-513.
C. Bouchareb, and M.S. Nait-Said, "PMSM model with phase-to-phase short-circuit and diagnosis by ESA and EPVA", Adv. Electr. Electron. Eng., vol. 14, pp. 522-530, 2016.
S. Bachir, S. Tnani, J.C. Trigeassou, and G. Champenois, "Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines", IEEE Trans. Ind. Electron., vol. 53, pp. 963-973, 2006.
I.B.A. Bazine, S. Tnani, T. Poinot, G. Champenois, and K. Jelassi, "Online detection of stator and rotor faults occurring in induction machine diagnosis by parameters estimation, In", SDEMPED 2011 - 8th IEEE Symp Diagnostics Electr Mach Power Electron Drives. Bologna, Italy, 2011, pp. 105-112.
M. Khov, J. Regnier, and J. Faucher, "Detection of turn short-circuit faults in stator of PMSM by on-line parameter estimation, In", SPEEDAM 2008 - Int Symp Power Electron Electr Drives, Autom Motion. Ischia, Italy, 2008, pp. 161-166.
J. Lee, S. Moon, H. Jeong, and S.W. Kim, "Robust diagnosis method based on parameter estimation for an interturn short-circuit fault in multipole PMSM under high-speed operation", Sensors (Switzerland). vol. 15, pp. 29452-29466, 2015.
F. Duan, and R. Živanović, "Induction motor stator fault detection by a condition monitoring scheme based on parameter estimation algorithms", Electr. Power Components. Syst., vol. 44, pp. 1138-1148, 2016.
M. Nentwig, and P. Mercorelli, "Throttle valve control using an inverse local linear model tree based on a fuzzy neural network", 7th IEEE Int Conf Cybern Intell Syst. London, UK, 2008.
P. Mercorelli, and P. Terwiesch, "A black box identification in frequency domain", Eur. Trans. Electr. Power, vol. 13, pp. 29-40, 2003.
M. Wolkiewicz, and C.T. Kowalski, Incipient stator fault detector based on neural networks end symmetrical components analysis for induction motor drives., Sel. Issues Electr. Eng. Electron. WZEE, 2016.
L.S. Bin, R.M. Tallam, and T.G. Habetler, "A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix", IEEE Trans. Power Electron., vol. 18, pp. 865-872, 2003.
F. Duan, and R. Živanović, "Condition monitoring of an induction motor stator windings via global optimization based on the hyperbolic cross points", IEEE Trans. Ind. Electron., vol. 62, pp. 1826-1834, 2015.
M. Eftekhari, M. Moallem, S. Member, and S. Sadri, "Online detection of induction motor’s stator winding short-circuit faults", IEEE Syst. J., vol. 8, pp. 1272-1282, 2014.
C.L. Fortescue, "Method of symmetrical co-ordinates applied to the solution of polyphase networks", Trans. Am. Inst. Electr. Eng., vol. XXXVII, pp. 1027-1140, 1918.
M. Bouzid, and G. Champenois, "A novel reliable indicator of stator windings fault in induction motor extracted from the symmetrical components, In", Proc - ISIE IEEE Int. Symp. Ind. Electron. Gdansk, Poland, pp. 489-95, 2011.

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Article Details

Year: 2019
Published on: 04 July, 2018
Page: [374 - 383]
Pages: 10
DOI: 10.2174/2352096511666180705113021
Price: $25

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