Diagnostic system for induction motor stator winding faults based on axial flux

• Autorzy: Wolkiewicz M. , Skowron M.

Identyfikatory

DOI

10.5277/PED170204

• Języki publikacji: EN

Abstrakty

EN

The article presents the results of research on the use of an axial flux in the diagnostics of induction motor stator winding fed by a frequency converter. Voltage signal waveforms proportional to the axial flux were recorded during motor operation under various conditions and were analyzed with regard to the detection of stator winding short circuits. The taps of the selected coil turns of stator phases were introduced into the tested motor, which allowed to physical modelling inter-turn short circuits. The structure and operation of the computer system used to monitor the state of induction motor windings were discussed. The developed diagnostic system was made in the National Instruments LabVIEW environment. The analysis of faults of the axial flux was made in the detection of induction motor stator winding. The results of experimental research conducted using the developed diagnostic system have also been presented.

Słowa kluczowe

EN

stator winding fault; inter-turn short circuit; axial flux; diagnostic system

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2017
• Tom: Vol. 2 (37), No. 2
• Strony: 137--150
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Wolkiewicz M.

• Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Skowron M.

• Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

Bibliografia

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• [2] JEE HOON JUNG, JONG-JAE LEE AND BONG-HWAN KWON, Online diagnosis of induction motor using MCSA, IEEE Trans. Ind. El., 2006, 53, 1842-1852.
• [3] THOMSON W.T., On-Line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure, Proc. IEEE Conference on Electrical Machines and Drives (IEMDC), Massachusetts Institute of Technology, Boston, Massachusetts, 2001, 891-898.
• [4] NEELAM MEHLA, RATNA DAHIYA, An approach of condition monitoring of induction motor using MCSA, Int. J. Syst. Appl., Eng. Dev., 2007, 1(1), 13-17.
• [5] BACHIR S., TNANI S., TRIGEASSOU J., CHAMPENOIS G., Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines, IEEE Trans. Ind. El., 2006, 53(3), 963-973.
• [6] BOUZID M.B.K., CHAMPENOIS G., BELLAAJ N.M., SIGNAC L., JELASSI K., An effective neural approach for the automatic location of stator interturn faults in induction motor, IEEE Trans. Ind. El., 2008, 55, (12), 4277-4289.
• [7] WOLKIEWICZ M., KOWALSKI C.T., On-line neural network-based stator fault diagnosis system of the converter-fed induction motor drive, 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, 2013, 5561-5566.
• [8] CRUZ S.M.A., CARDOSO A.J.M., Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park’s vector approach, IEEE Trans. Ind. Appl., 2001, 37(5), 1227-1233.
• [9] PENMAN J., SEDDING H.G., LLOYD B.A., FINK W.T., Detection and location of interturn short circuits in the stator windings of operating motors, IEEE Trans. En. Conv., 1994, 9, 652-658.
• [10] HENAO H., ASSAF T., CAPOLINO G.A., The discrete Fourier transform for computation of symmetrical harmonics, Power Tech. Conference Proceedings, 2003, 4, 1-6.
• [11] PETRYNA J., SUŁOWICZ M., DUDA A., GUZIEC K., Possibilities of the unipolar flux application in AC machines diagnosing, Nap. Sterow., 2014 (5) 100-105 (in Polish).
• [12] EWERT P., Use of axial flux in the detection of electrical faults in induction motors, International Symposium on Electrical Machines, Nałęczów, Poland, June 2017, 1-6.
• [13] ASSAF T., HENAO H., CAPOLINO G.A., Simplified axial flux spectrum method to detect incipient stator inter-turn short-circuits in induction machine, IEEE Int. Symposium on Industrial Electronics, 2004, 2, 815-819.
• [14] KOWALSKI C.T., Diagnosis of the drive systems with induction motor using artificial intelligence methods, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2013 (in Polish).
• [15] DRIF M., BENOUZZA N., BENDIABDELLAH A., DENTE J.A., Induction motor load effect diagnostic utilizing instantaneous power spectrum, Proc. EPE, Graz 2001, 27-29.
• [16] TONI K., SLOBODAN M., ALEKSANDAR B., Detection of turn to turn faults in stator winding with axial magnetic flux in induction motors, IEEE International Conference on Electric Machines and Drives, 2007, 1, 826-829.

Uwagi

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