Stator current spectrum analysis applied on short-circuit fault diagnosis of SRM

• Autorzy: Chehda Rabeh , Benouzza Noureddine , Kada-Belghitri Naouel

Identyfikatory

DOI

10.15199/48.2019.10.05

Warianty tytułu

PL

Diagnostyka zwarć w silniku reluktancyjnym bazująca na analizie widmowej prądu stojana

• Języki publikacji: EN

Abstrakty

EN

Thanks to power electronics innovation, switched reluctance machine are taking place on industrial applications. In this paper we present the short-circuit fault diagnosis between stator turns of the switched reluctance machine by the use of stator current spectral analysis. To do this, we modeled our switched reluctance machine by permeance networks method to which we have associated the of the teeth contour permeance for the calculation of the airgap. The simulation results show the interest and efficiency of the proposed model as well as the stator current spectral analysis technique for the short circuit fault diagnosis of the switched reluctance machine.

PL

W artykule zaprezentowano metodę wykrywania zwarć w silniku reluktancyjnym. Metoda ta bazuje na analizie widmowej prądu stojana.

Słowa kluczowe

EN

switched reluctance machine; reluctance network; short-circuit fault; stator current; spectral analysis

PL

silnik reluktancyjny; diagnostyka zwarć; analiza widmowa

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 10
• Strony: 27--32
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Chehda Rabeh

• Diagnostic Group, LDEE laboratory, Electrical Engineering faculty, University of Science and Technology of Oran MB, BP 1505 El-Mnaouer Oran 31000, Algeria

autor

Benouzza Noureddine

• Diagnostic Group, LDEE laboratory, Electrical Engineering faculty, University of Science and Technology of Oran MB, BP 1505 El-Mnaouer Oran 31000, Algeria

autor

Kada-Belghitri Naouel

• Diagnostic Group, LDEE laboratory, Electrical Engineering faculty, University of Science and Technology of Oran MB, BP 1505 El-Mnaouer Oran 31000, Algeria

Bibliografia

• [1] Zhu, Z. Q., Howe, D. "Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles", Proceedings of the IEEE, 95(4), pp.746–765, 2017. https://doi.org/10.1109/jproc.2006.892482
• [2] Sadeghi, S., Mirsalim, M. "Dynamic Modeling and Simulation of a Switched reluctance Motor in a Series Hybrid Electric Vehicle", Acta Polytechnica Hungarica, 7(1), pp. 51-71, 2010.
• [3] Mahmoud, I., Rehaoulia, H., Ayadi, M. "Design and modeling of a linear switched reluctance actuator for biomedical applications", International Journal Of Physical Sciences, 6(22), pp. 5171-5180, October 2011.
• [4] Kada Belghitri, N., Taieb Brahimi, A., Kernane C. "using reluctance network metod in SRM design", In: Proceeding of international conference on electrotechnics ICEL2013, Oran, Algeria, December 2013, pp. 10-11.
• [5] Deekshit, K.C., Venu Gopala Rao, M., Srinivasa Rao, R."DWT based bearing fault detection in induction motor using noisecancellation", Journal of Electrical Systems and Information Technology, 3 (3), pp. 411–427, December 2016.
• [6] Marques, J. F., Estima, J. O., Gameiro, N. S., Cardoso, A. J. M. "A new diagnostic technique for real-time diagnosis of power converter faults in Switched reluctance motor drives", IEEE Transactions on Industry Applications , 50(3), pp. 1854-1860, May-Jun. 2014.
• [7] Faiz, J., Pakdelian, S. "Finite-element analysis of a switched reluctance motor under static eccentricity fault", IEEE Trans. Magn., 42(8), pp. 2004-2008, Aug. 2006.
• [8] Faiz, J., Pakdelian, S. "Diagnosis of static eccentricity in switched reluctance motors based on mutually induced voltages", IEEE Transactions on Magnetics, 44(8), pp. 2029-2034, Aug. 2008.
• [9] Dorrell, D. G., Chindurza, I., Cossar, C. "Effects of rotor eccentricity on torque in switched reluctance machines", IEEE Transactions on Magnetics, 41(10), pp. 3961-3963, Oct. 2005.
• [10] Gopalakrishnan, S., Omekanda, A. M., Lequesne, B. "Classification and remediation of electrical faults in the switched reluctance drive", IEEE Transactions on Industry Applications, 42(2), pp.479-486, Mar.-Apr. 2006.
• [11] Bouchareb, I., Bentounsi, A., Lebaroud, A., Batoun, B. "Dynamic Eccentricity Fault Detection In Switched Reluctance Motor Using Time-Frequency Analysis", In: 6th International conference on Sciences of Electronics, Technologies of Information and Telecommunication SETIT 2012,Tunisia, March 2012, pp. 21-24.
• [12] Bouchareb, I., Bentounsi, A., Lebaroud, A."An Integrated Artificial Neural Networks/Optimal Time-Frequency Based Classification in Condition Monitoring of Synchronous Reluctance Motor Stator Fault" 9th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives SDEMPED 2013, 27-30 August 2013, Spain.
• [13] Bouchareb, I., Bentounsi, A., Lebaroud, A. "Advanced Diagnosis Strategy for Incipient Stator Faults in Synchronous Reluctance Motor", In: IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Guarda, Portugal, 2015, pp. 110-116.
• [14] Bekkouche, B., Chaouch, A., Mezari,Y. "A Switched Reluctance Motors Analyse using Permeance Network Method", International Journal of Applied Engineering Research, 1(2), pp. 137-152, 2006.
• [15] Benbouzid, M.E.H. "A review of induction motors signature analysis as a medium for faults detection", IEEE Transactions on Industrial Electronics, 47(5), pp. 984-993, October 2000.
• [16] Elbouchikhi, E., Choqueuse,V., Benbouzid, M. "Induction machine diagnosis using stator current advanced signal processing", International Journal on Energy Conversion, 3(3), pp. 76–87, May 2015.
• [17] Harir, M and Bendiabdellah, A. "Stator Current Spectral content of an Induction Motor taking into account Saturation Effect", Przegląd Elektrotechniczny, 11, pp.108, 2018.
• [18] doi:10.15199/48.2018.11.25

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).