Analysis of Eccentric Faults of Induction Motor by Using Shannon Entropy

Year 2019, Volume: 24 Issue: 3, 199 - 210, 31.12.2019

ABDURRAHMAN Ünsal Selahattin Güçlü

https://doi.org/10.17482/uumfd.516620

Cited By: 1

Abstract

One of the common faults of induction motors which are extensively used in industry and
commercial applications is the axial misalignment faults in the motor. In this study, axial misalignment
faults of a three-phase squirrel-cage induction motor was analyzed by Shannon entropy. The axial
misalignment fault was created by the enlarging of the bearing shell inside the two end-bells of the
induction motor. A special designed material manufactured by a 3D printer was placed inside the
enlarged bearing shell. In this way, a 0.20 mm offset was created. Induction motor was tested both
healthy and with axial misalignment fault under 25%, 50%, 75% and 100% loading conditions. The stator
current and vibration signals were recorded for each test case. The validity of the stator current and
vibration signals was checked by Fourier analysis. The axial offset effect was evaluated by calculating the
entropy values of the stator current and vibration signals of the motor. Then entropy values were
calculated for both the healthy and faulty motor. The results show that the axial misalignment faults cause
an increase in the entropy value of the vibration signal significantly. The change in the entropy value of
the stator current due to axial misalignment faults is not significant. Therefore it is shown that the entropy
analysis of vibration signals can be used in the analysis eccentric fault of induction motors. 

Keywords

Induction Motor, Axial Misalignment Faults, Entropy Analysis, Shannon Entropy

ASENKRON MOTOR EKSENEL KAÇIKLIK ARIZALARININ SHANNON ENTROPİSİ İLE ANALİZİ

Abstract

Sanayide ve işletmelerde yoğun bir şekilde kullanılan asenkron motorların yaygın arızalarından bir
tanesi de motorlarda meydana gelen eksenel kaçıklık arızalarıdır. Bu çalışmada üç fazlı sincap kafesli bir
asenkron motorun eksenel kaçıklık arızaları Shannon entropisi ile incelendi. Eksenel kaçıklık arızaları
asenkron motorun her iki kapağının iç kısmındaki rulman yatakları genişletilerek oluşturuldu.
Genişletilen rulman yataklarına üç boyutlu yazıcıdan elde edilen bir burç yerleştirilerek rotorun eksenden
0,20 mm kaçık olarak çalışması sağlandı. Asenkron motor hem sağlam olarak hem de eksenel kaçıklık
arızalı olarak %25, %50, %75 ve %100 yük altında çalıştırıldı. Her test durumu için stator akımı ve
titreşim sinyalleri kaydedildi. Stator akımı ve titreşim sinyallerinin doğruluğu Fourier analizi ile kontrol
edildi. Eksenel kaçıklık arızasının etkisi, motorun stator akımı ve titreşim sinyallerinin entropi değerleri
hesaplanarak incelendi. Sağlam ve eksenel kaçıklık arızalı motorun akım ve titreşim sinyallerinin entropi
değerleri karşılaştırıldı. Elde edilen sonuçlar; eksenel kaçıklık arızalarının titreşim sinyali entropi
değerinde ciddi bir artışa sebep olduğu ancak stator akımı entropi değerinde anlamlı bir değişim
göstermediğini göstermektedir. Elde edilen sonuçlardan titreşim sinyalleri entropi analizinin eksenel
kaçıklık arızalarının tespitinde kullanılabileceği görülmektedir.

Keywords

Asenkron Motor, Eksenel Kaçıklık Arızaları, Entropi Analizi, Shannon Entropisi

References

• Bafroui, H. H., ve Ohadi, A. (2014) Application of wavelet energy and Shannon entropy for feature extraction in gearbox fault detection under varying speed conditions, Neurocomputing, 133, 437-445. doi:0.1016/j.neucom.2013.12.018
• Benbouzid, M. E. H. (2000) A review of induction motors signature analysis as a medium for faults detection, IEEE transactions on industrial electronics, 47(5), 984-993. doi:10.1109/41.873206
• Bessous, N., Zouzou, S. E., Sbaa, S., ve Bentrah, W. (2017) A comparative study between the MCSA, DWT and the vibration analysis methods to diagnose the dynamic eccentricity fault in induction motors, 6th International Conference on Systems and Control (ICSC), 414-421. doi:10.1109/ICoSC.2017.7958655
• Cabal-Yepez, E., Romero-Troncoso, R. J., Garcia-Perez, A., Osornio-Rios, R. A., ve Alvarez-Salas, R. (2011. Multiple fault detection through information entropy analysis in ASD-fed induction motors, 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives, 391-396. doi:10.1109/DEMPED.2011.6063653
• Cabal-Yepez, E., Romero-Troncoso, R. J., Garcia-Perez, A., ve Osornio-Rios, R. A. (2012) Single-parameter fault identification through information entropy analysis at the startup-transient current in induction motors, Electric Power Systems Research, 89, 64-69. doi:10.1016/j.epsr.2012.02.016
• Camarena-Martinez, D., Valtierra-Rodriguez, M., Amezquita-Sanchez, J. P., Granados-Lieberman, D., Romero-Troncoso, R. J., ve Garcia-Perez, A. (2016) Shannon Entropy and-Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals, Shock and Vibration. 2016, 1-10. doi:10.1155/2016/4860309
• Dinçer, G. (2005) Entropi Kavramının İstatistiksel Bazı Uygulamaları, Yüksek Lisans Tezi, Yıldız Teknik Üniversitesi Fen Bilimleri Enstitüsü, İstanbul.
• Faiz, J., ve Moosavi, S. M. M. (2016) Eccentricity fault detection–From induction machines to DFIG—A review, Renewable and Sustainable Energy Reviews, 55, 169-179. doi:10.1016/j.rser.2015.10.113
• Glowacz, A., Glowacz, W., Glowacz, Z., ve Kozik, J. (2018) Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals, Measurement, 113, 1-9. doi:10.1016/j.measurement.2017.08.036
• Hegde, V., ve Maruthi, G. S. (2012) Experimental investigation on detection of air gap eccentricity in induction motors by current and vibration signature analysis using non-invasive sensors, Energy Procedia, 14, 1047-1052.
• Kompella, K. D., Mannam, V. G. R., ve Rayapudi, S. R. (2016) DWT based bearing fault detection in induction motor using noise cancellation, Journal of Electrical Systems and Information Technology, 3(3), 411-427. doi:10.1016/j.egypro.2011.12.1053
• Köse, R. K. (2004). Makine arızalarının belirlenmesinde titreşim analizi, Mühendis ve Makine Dergisi, 45, 538.
• Li, S., Li, Y., ve Sarlioglu, B. (2016) Rotor unbalanced magnetic force in flux-switching permanent magnet machines due to static and dynamic eccentricity, Electric Power Components and Systems, 44(3), 336-342. doi:10.1080/15325008.2015.1111469
• Obaid, R. R., ve Habetler, T. G. (2003) Current-based algorithm for mechanical fault detection in induction motors with arbitrary load conditions, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2, 1347-1351. doi:10.1109/IAS.2003.1257726
• Ojaghi, M., & Mohammadi, M. (2017) Unified modeling technique for axially uniform and nonuniform eccentricity faults in three-phase squirrel cage induction motors, IEEE Transactions on Industrial Electronics, 65(7), 5292-5301. doi:10.1109/TIE.2017.2760280
• Pan, S., Han, T., Tan, A. C., & Lin, T. R. (2016). Fault diagnosis system of induction motors based on multiscale entropy and support vector machine with mutual information algorithm, Shock and Vibration. doi:10.1155/2016/5836717
• Polat, A., Ertuğrul, Y. D., ve Ergene, L. T. (2015) Static, dynamic and mixed eccentricity of induction motor, IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 284-288. doi:10.1109/DEMPED.2015.7303703