Detection and classification of faults in induction motor by means of motor current signature analysis and stray flux monitoring

• Autorzy: Ishkova I. , Vítek O.

Identyfikatory

DOI

10.15199/48.2016.04.36

Warianty tytułu

PL

Detekcja i klasyfikacja defektów silnika indukcyjnego na podstawie analizy prądu i strumienia rozproszonego

• Języki publikacji: EN

Abstrakty

EN

In this paper the detection and classification of faults in induction motor using motor current signature analysis and monitoring of stray flux are presented. During the research motors with static, dynamic and mixed eccentricity were measured. The results were analyzed and compared with the data obtained from the simulated motor models. The behavior of sidebands of principal slot harmonics was examined. The results are presented in the form of graphs that illustrate the effectiveness and advantage of the method for diagnosis of the motor and detection of faults in it.

PL

W artykule przedstawiono metodę detekcji I klasyfikacji defektów silników indukcyjnych na podstawie analizy prądu i strumienia rozprposzonego. Możliwe jest wykrywanie statycznych i dynamicznych ekcentryczności. Zmierzone parametry były porównywane z danymi otrzymanymi metoda symulacji.

Słowa kluczowe

EN

induction motor faults; eccentricity; motor current signature analysis; stray flux monitoring

PL

silnik indukcyjny; wykrywanie defektów; analiza prądu silnika indukcyjnego

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2016
• Tom: R. 92, nr 4
• Strony: 166--170
• Opis fizyczny: Bibliogr. 20 poz., rys., wykr.

Twórcy

autor

Ishkova I.

• Brno University of Technology, Faculty of Electrical Engineering and Communication, Technicka 3082/12, CZ-61600 Brno

autor

Vítek O.

• Brno University of Technology, Faculty of Electrical Engineering and Communication, Technicka 3082/12, CZ-61600 Brno

Bibliografia

• [1] Drif M., Cardoso A.J.M., “Airgap-Eccentricity Fault Diagnosis, in Three-Phase Induction Motors, by the Complex Apparent Power Signature Analysis,” IEEE Trans. Ind. Electron, 55 (2008), No. 3, 1404-1410
• [2] Zagirnyak M., Mamchur D., Kalinov A., “Comparison of Induction Motor Diagnostic Methods Based on Spectra Analysis of Current and Instantaneous Power Signals, ” Przeglad Elektrotechniczny, R. 88 (2012), No. 12b, 221-224
• [3] Basak D., Tiwari A., Das S.P., “Fault Diagnosis and Condition Monitoring of Electrical Machines – A Review,” IEEE International Conference ICIT (2006), 3061-3066
• [4] Baptista B., Mendes A., Cruz S., Cardoso A., “Temperature Distribution Inside a Three-Phase Induction Motor Running With Eccentric Airgap,’’ Przeglad Elektrotechniczny, R.88 (2012), No. 1a, 96-99
• [5] Ebrahimi B.M., Faiz J., Etemadrezaie M., Babaie M., “Eccentricity Fault Identification in Round Rotor Synchronous Motors Considering Load Variation,” Przeglad Elektrotechniczny, R. 87 (2011), No. 5, 288-292
• [6] Novozhilov A., Kryukova Y., Andreyeva O., Novozhilov T., “Diagnostic System Induction Motor Rotor Eccentricity by Phase Current, ” Przeglad Elektrotechniczny, R. 90 (2014), No. 9, 157-159
• [7] Benbouzid M.E., “A Review of Induction Motors Signature Analysis as a Medium for Faults Detection,” IEEE Trans. Ind. Electron, Vol. 47 (2000), No. 5, 984-993
• [8] Nandi S, Toliyat A., Li X., “Condition Monitoring and Fault Diagnosis of Electrical Motors – A Review,” IEEE Trans. Ind. Electron, Vol. 20 (2005), No. 4, 719-729
• [9] Benbouzid M.E.H., Kliman G.B., “What Stator Current Processing-Based Technique to Use for Induction Motor Rotor Faults Diagnosis?” IEEE Trans. on Energy Convension, Vol. 18 (2003), No. 2, 238-244
• [10] Benbouzid M.E.H., Vieira M., Theys C., “Induction Motors’ Faults Detection and Localization Using Stator Current Advanced Signal Processing Techniques,” IEEE Transactions on Power Electronics, Vol. 14 (1999), 14-22
• [11] Kindl V., Hruska K., Sobra J., Byrtus M., “Effect of Induction Machine’s Load and Rotor Eccentricity on Space Harmonics in the Air Gap Magnetic Flux Density,’’ 16th International Conference on Machatronics – Mechatronika (ME), (2014), 463-468
• [12] Dorrel D.G., Thomson W.T., Roach S., “Analysis of Airgap Flux, Current, and Vibration Signals as a Function of the Combination of Static and Dynamic Airgap Eccentricity in 3- Phase Induction Motors,” IEEE Trans. Ind. Electron, Vol. 33 (1997), No. 1, 24-34
• [13] Frosini L., Harlisca C., Szabo L., “Induction Machine Bearing Fault Detection by Means of Statistical Processing of the Stray Flux Measurement,ˮ IEEE Trans. Ind. Electron, Vol. 62 (2015), No.3
• [14] Negrea M.D., “Electromagnetic Flux Monitoring for Detecting Faults in Electrical Machines,” Ph.D. dissertation, Dept. Elect. Commun. Eng., Helsinki Univ. Technol., Espoo, Finland, 2006.
• [15] Romary R., Pusca R., Lecointe J.P., Brudny J.F., “Electrical Machines Fault Diagnosis by Stray Flux Analysis, ” IEEE Workshop on Electrical Machines Design Control and Diagnosis (WEMDCD), (2013), 247-256
• [16] Frosini L., Borin A., Girometta L., Venchi G., “A Novel Approach to Detect Short Circuit in Low Voltage Induction Motor by Stray Flux Measurement, ” 20th International Conference on Electrical Machines (ICEM), (2012), 1538-1544
• [17] Boldea I., Nasar S., The Induction Machine Handbook. Boca Raton: CRC Press, (2002)
• [18] Vitek O., Janda M., Hajek V., Bauer P., “Detection of Eccentricity and Bearing Faults Using Stray Flux Monitoring,” in Proc. IEEE SDEMPED, Bologna, Italy, (2011), 456–461
• [19] Tumanski S., “Modern Magnetic Field Sensors – A Review, ” Przeglad Elektrotechniczny, R. 89 (2013), No. 10, 1-12
• [20] Ishkova I., Vitek O., “Diagnosis of Eccentricity and Broken Rotor Bar Related Faults of Induction Motor by Means of Motor Current Signature Analysis, ” 16th International Scientific Conference on Electric Power Engineering (EPE), Kouty nad Desnou, Czech Republic (2015), 682-686.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.