Araştırma Makalesi
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ANALYSIS OF ROTOR FAULTS OF INDUCTIN MOTORS

Yıl 2015, Sayı: 034, 69 - 86, 15.06.2015

Öz

The identification of rotor faults and their effects on induction motors
have been a popular research area in recent years. The rotor faults are
identified by observing the stator current, torque, flux, and flux density of
the motor. In this study, the rotor faults (broken rotor bars) are modelled by
using Ansoft/Maxwell simulation tool. The modelling was conducted in both two
dimension (2D) and three dimension (3D). In 2D modelling, stator current,
electromagnetic torque, and winding flux were observed both in time domain and
frequency domain by using Finite Element Analysis. In addition, the flux
distribution and flux density were also observed. In 3D modelling, a healthy
motor is modelled along with a motor with rotor faults to observe magnetic flux
density. The results of modelling and simulation show that Ansoft/Maxwell
simulation tool can be successfully used for detection of the rotor faults of
induction motors for educational purposes.

Kaynakça

  • [1] Yeh, C., Sayed-Ahmet, A.and Povinelli, R., A reconfigurable motor for experimental emulation of stator winding inter-turn and broken bar faults in polyphase induction machines, IEEE Transactions on Energy Conversion, vol. 23, no. 4, 1005-1014 p (2008).
  • [2] Akar, M., Fenercioğlu, A. ve Soyaslan, M., Asenkron motorlarda rotor çubuğu kırk arızasının elektromanyetik tork ile tespiti, 6. Uluslararası İleri Teknolojiler Sempozyumu (IATS’11), Elazığ, Türkiye (2011).
  • [3] Akar, M. ve Çankaya, İ., Evirici ile sürülen asenkron motorlarda rotor çubuğu kırık arızasının tespiti, 5. Uluslararası İleri Teknolojiler Sempozyumu (IATS’09), Karabük, Türkiye (2009).
  • [4] Arabacı, H., Bilgin, O., Ceylan, M. ve Ceylan, R., Asenkron motorlarda kırık rotor çubuğu arızalarının yapay sinir ağları ile teşhisi, ELECO’2004 Elektrik Elektronik Bilgisayar Mühendisliği Sempozyumu, Bursa (2004).
  • [5] Douglas, H., Pillay, P ve Ziarani, A. K., Broken rotor bar detection in induction machines with transient operating speeds, IEEE Transactions on Energy Conversion,20, 135-141 p (2005).
  • [6] Szabo, L., Dobai, J. B. and Biro, K. A., 2004, Rotor detection in squirrel-cage induction motors by current signature analysis, IEEE-TTTC-International Conference on Automation, Quality and Testing, Robotics, Cluj-Napoca, Romania.
  • [7] Ayaz, E., 2002, Asenkron motorlarda dalgacık analizi yaklaşımı ile rulman arıza tanısı ve yapay zeka tabanlı bir durum izleme sistemi, Doktora tezi, İstanbul Teknik Üniversitesi, İstanbul.
  • [8] Sutherland, P.E. ve Salon, S.J., 2002, Analysis of rotor faults in three phase induction machines, Industry Applications Conference.
  • [9] Nandi, S., Toliyat, H.A. and Li, X., 2005, Condition monitoring and fault diagnosis of electrical motors, IEEE Transaction on Energy Conversion, 20, 719-729 p.
  • [10] Erbay, S., 1999, Multi-sensor Fusion for Induction motor aging analysis and fault diagnosis., PhD Thesis, The University of Tennessee, Knoxville.
  • [11] Gojko, M.J. and Penman, J., 2000,. The detection of inter-turn short circuits in stator windings of operating motors, IEEE Transactions on Industrial Electronics, 147, 1078-1084 p.
  • [12] Şeker S., Ayaz E., Upadhyaya, B. R. and Erbay, A.S.,. 2000, Analysis of motor current and vibration signals for detecting bearing damage in electric motors, MARCON 2000 Maintenance and Reliability Conference, Knoxville.
  • [13] Tandon, N., Yadava, G.S., Ramakrishna, K.M., 2007, A comparison of some condition monitoring techniques for the detection of defect in induction motor ball bearings, Mechanical Systems and Signal Processing, 21, 244-256 p.
  • [14] Schoen, R.R., Habetler, T.G., Kamran, F. and Bartheld R.G., 1995, Motor bearing damage detection using stator current monitoring, IEEE Trans. on Ind. Application, 31, 1274–1279 p.
  • [15] Filippetti, F., Franceschini, G., Tassoni, C. and Vas P., 1996, AI techniques in induction machines diagnosis including the speed ripple effect, Conf. Rec. IEEE-IAS Annu. Meeting, San Diego, California, 655–662 p.
  • [16] Thomson” W.T. and Stewart” I.D., 1998, On-line current monitoring for fault diagnosis in inverter fed induction motors”, Proc. IEE Third Int. Conf. Power Electronics and Variable-Speed Drives, London, UK,432–435 p.
  • [17] Thomson, W.T. and Fenger, M., 2001, Current signature analysis to detect induction motor faults, IEEE Ind. Applicat. Mag., vol. 7, 26–34 p.
  • [18] Thomas, V. V., 2002, Non-invasive techniques for rotor fault detection of three phase squirrel cage induction motors, Doctor of Philosophy thesis, India,
  • [19] Voltanen, M., 2007, Performance characteristics of an axial-flux solid-rotor-cage induction motor, Doctor of science thesis, Lappeenranta University of Technology, Lappeenranta, Finland.
  • [20] Liang, B., Payne, B. S., Ball, A. D. and Iwnicki, S. D., 2002, Simulation and fault detection of three-phase induction motors, Mathematics and Computers in Simulation 61, 1-15 p.
  • [21] Aroui, T., Koubaa, Y. and Toumi, 2007, A. Modeling and diagnostics of inductions machines under rotor failures, ICGST-ACSE Journal, Volume 7, Issue 2, November 2007.
  • [22] Yang, Z., Merrild, U. C., Runge, M. T., Pedersen, G., Borsting, H., 2009, A study of rolling-element bearing fault diagnosis using motor’s vibration and current signatures, Preprints of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 356 p.
  • [23] Thorsen, O. V., Dolva, M., 1995, A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals and oil refineries, IEEE Transactions on Industry Applications, Vol. 31, No. 5, 1186-1187 p.
  • [24] Rahimi, S., 2006, Modeling of rotor bars in induction motors with sepecial focus on starting performance, Master of science thesis, Royal Institute of Technology, Stockolm.

ASENKRON MOTOR ROTOR ARIZALARININ ANALİZİ

Yıl 2015, Sayı: 034, 69 - 86, 15.06.2015

Öz

Asenkron motorların rotor çubuklarında meydana gelen
arızaların bir son yıllarda popüler bir araştırma konusu haline gelmiştir. Rotor
arızaları, motorun şebekeden çektiği akım, moment, akı dağılım, akı yoğunluğu,
gibi parametreler izlenerek tespit edilmeye çalışılır. Bu çalışmada, üç fazlı,
dört kutuplu, sincap kafesli bir asenkron motorun rotor çubuklarında meydana
gelen arızalar (kırık rotor çubukları) Ansoft/Maxwell yazılımı ile
modellenmiştir. Modelleme iki ve üç boyutlu olarak gerçekleştirilmiştir. İki
boyutlu modellemede, stator akımı, elektromanyetik moment ve stator sargı akısı
sinyalleri hem zaman alanında hem de frekans alanında incelenmiştir. İki
boyutlu modellemede sonlu elemanlar yöntemi kullanılarak manyetik akı yoğunluğu
ve akı çizgileri de incelenmiştir. Üç boyutlu modellemede ise sağlam ve arızalı
(rotorlu) motor sonlu elemanlar yöntemi modellenerek manyetik akı yoğunluğu incelenmiştir.
Elde edilen sonuçlar Ansoft/Maxwell yazılımının asenkron motorların
arızalarının modellenmesinde eğitim amaçlı olarak kullanılabileceğini
göstermektedir.

Kaynakça

  • [1] Yeh, C., Sayed-Ahmet, A.and Povinelli, R., A reconfigurable motor for experimental emulation of stator winding inter-turn and broken bar faults in polyphase induction machines, IEEE Transactions on Energy Conversion, vol. 23, no. 4, 1005-1014 p (2008).
  • [2] Akar, M., Fenercioğlu, A. ve Soyaslan, M., Asenkron motorlarda rotor çubuğu kırk arızasının elektromanyetik tork ile tespiti, 6. Uluslararası İleri Teknolojiler Sempozyumu (IATS’11), Elazığ, Türkiye (2011).
  • [3] Akar, M. ve Çankaya, İ., Evirici ile sürülen asenkron motorlarda rotor çubuğu kırık arızasının tespiti, 5. Uluslararası İleri Teknolojiler Sempozyumu (IATS’09), Karabük, Türkiye (2009).
  • [4] Arabacı, H., Bilgin, O., Ceylan, M. ve Ceylan, R., Asenkron motorlarda kırık rotor çubuğu arızalarının yapay sinir ağları ile teşhisi, ELECO’2004 Elektrik Elektronik Bilgisayar Mühendisliği Sempozyumu, Bursa (2004).
  • [5] Douglas, H., Pillay, P ve Ziarani, A. K., Broken rotor bar detection in induction machines with transient operating speeds, IEEE Transactions on Energy Conversion,20, 135-141 p (2005).
  • [6] Szabo, L., Dobai, J. B. and Biro, K. A., 2004, Rotor detection in squirrel-cage induction motors by current signature analysis, IEEE-TTTC-International Conference on Automation, Quality and Testing, Robotics, Cluj-Napoca, Romania.
  • [7] Ayaz, E., 2002, Asenkron motorlarda dalgacık analizi yaklaşımı ile rulman arıza tanısı ve yapay zeka tabanlı bir durum izleme sistemi, Doktora tezi, İstanbul Teknik Üniversitesi, İstanbul.
  • [8] Sutherland, P.E. ve Salon, S.J., 2002, Analysis of rotor faults in three phase induction machines, Industry Applications Conference.
  • [9] Nandi, S., Toliyat, H.A. and Li, X., 2005, Condition monitoring and fault diagnosis of electrical motors, IEEE Transaction on Energy Conversion, 20, 719-729 p.
  • [10] Erbay, S., 1999, Multi-sensor Fusion for Induction motor aging analysis and fault diagnosis., PhD Thesis, The University of Tennessee, Knoxville.
  • [11] Gojko, M.J. and Penman, J., 2000,. The detection of inter-turn short circuits in stator windings of operating motors, IEEE Transactions on Industrial Electronics, 147, 1078-1084 p.
  • [12] Şeker S., Ayaz E., Upadhyaya, B. R. and Erbay, A.S.,. 2000, Analysis of motor current and vibration signals for detecting bearing damage in electric motors, MARCON 2000 Maintenance and Reliability Conference, Knoxville.
  • [13] Tandon, N., Yadava, G.S., Ramakrishna, K.M., 2007, A comparison of some condition monitoring techniques for the detection of defect in induction motor ball bearings, Mechanical Systems and Signal Processing, 21, 244-256 p.
  • [14] Schoen, R.R., Habetler, T.G., Kamran, F. and Bartheld R.G., 1995, Motor bearing damage detection using stator current monitoring, IEEE Trans. on Ind. Application, 31, 1274–1279 p.
  • [15] Filippetti, F., Franceschini, G., Tassoni, C. and Vas P., 1996, AI techniques in induction machines diagnosis including the speed ripple effect, Conf. Rec. IEEE-IAS Annu. Meeting, San Diego, California, 655–662 p.
  • [16] Thomson” W.T. and Stewart” I.D., 1998, On-line current monitoring for fault diagnosis in inverter fed induction motors”, Proc. IEE Third Int. Conf. Power Electronics and Variable-Speed Drives, London, UK,432–435 p.
  • [17] Thomson, W.T. and Fenger, M., 2001, Current signature analysis to detect induction motor faults, IEEE Ind. Applicat. Mag., vol. 7, 26–34 p.
  • [18] Thomas, V. V., 2002, Non-invasive techniques for rotor fault detection of three phase squirrel cage induction motors, Doctor of Philosophy thesis, India,
  • [19] Voltanen, M., 2007, Performance characteristics of an axial-flux solid-rotor-cage induction motor, Doctor of science thesis, Lappeenranta University of Technology, Lappeenranta, Finland.
  • [20] Liang, B., Payne, B. S., Ball, A. D. and Iwnicki, S. D., 2002, Simulation and fault detection of three-phase induction motors, Mathematics and Computers in Simulation 61, 1-15 p.
  • [21] Aroui, T., Koubaa, Y. and Toumi, 2007, A. Modeling and diagnostics of inductions machines under rotor failures, ICGST-ACSE Journal, Volume 7, Issue 2, November 2007.
  • [22] Yang, Z., Merrild, U. C., Runge, M. T., Pedersen, G., Borsting, H., 2009, A study of rolling-element bearing fault diagnosis using motor’s vibration and current signatures, Preprints of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 356 p.
  • [23] Thorsen, O. V., Dolva, M., 1995, A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals and oil refineries, IEEE Transactions on Industry Applications, Vol. 31, No. 5, 1186-1187 p.
  • [24] Rahimi, S., 2006, Modeling of rotor bars in induction motors with sepecial focus on starting performance, Master of science thesis, Royal Institute of Technology, Stockolm.
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Abdurrahman Ünsal Bu kişi benim

Oktay Karakaya

Yayımlanma Tarihi 15 Haziran 2015
Yayımlandığı Sayı Yıl 2015 Sayı: 034

Kaynak Göster

APA Ünsal, A., & Karakaya, O. (2015). ASENKRON MOTOR ROTOR ARIZALARININ ANALİZİ. Journal of Science and Technology of Dumlupınar University(034), 69-86.