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Journals / Turkish Journal of Electrical Engineering and Computer Science / 2010 / Cilt: 18 - Sayı: 6

Detection of static eccentricity for permanent magnet synchronous motors using the coherence analysis

Mehmet AKAR
Sezai TAŞKIN
Serhat ŞEKER
İlyas ÇANKAYA
Pages
963–974
Publication Date
2010-06-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition to this determination, the eccentricity problem is observed from the torque and rotor speed data comparing with each others as well as current and voltage variations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper reports on work to detect the static eccentricity faults for permanent magnet synchronous motor (PMSM) using spectral analysis methods.
📊
Key Findings & Data:Measurements are carried out by collecting the stator current and voltage, torque and speed for healthy and faulty cases of the motor.
💡
Conclusion & Impact:In addition to this determination, the eccentricity problem is observed from the torque and rotor speed data comparing with each others as well as current and voltage variations.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Permanent magnet synchronous motor · eccentricity · fault diagnosis

Abstract

This paper reports on work to detect the static eccentricity faults for permanent magnet synchronous motor (PMSM) using spectral analysis methods. Measurements are carried out by collecting the stator current and voltage, torque and speed for healthy and faulty cases of the motor. Static eccentricity case is formed by changing the rotor position in the manner of sliding the shaft on a horizontal axis. As a result of the spectral analysis for the motor currents, side band effects appeared at around the fundamental frequency are determined as a most important indicator of the eccentricity. In addition to this determination, the eccentricity problem is observed from the torque and rotor speed data comparing with each others as well as current and voltage variations.

Özet

This paper reports on work to detect the static eccentricity faults for permanent magnet synchronous motor (PMSM) using spectral analysis methods. Measurements are carried out by collecting the stator current and voltage, torque and speed for healthy and faulty cases of the motor. Static eccentricity case is formed by changing the rotor position in the manner of sliding the shaft on a horizontal axis. As a result of the spectral analysis for the motor currents, side band effects appeared at around the fundamental frequency are determined as a most important indicator of the eccentricity. In addition to this determination, the eccentricity problem is observed from the torque and rotor speed data comparing with each others as well as current and voltage variations.

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Cite This Article

AKAR, M., TAŞKIN, S., ŞEKER, S., ÇANKAYA, İ. (2010). Detection of static eccentricity for permanent magnet synchronous motors using the coherence analysis. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 18 - Sayı: 6, 963–974. https://ajindex.com/articles/188798

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References (8)

  1. Abbreviations STFT APSD CPSD Cross Power Spectral Density J. Rosero, J. Cusido, A. Garcia, J. Ortega and L. Romeral, “On-line Condition Monitoring Technique for PMSM Operating with Eccentricity”, The 6thIEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, IEEE SDEMPED, Cracow, Poland, pp. 111-16, 2007. S. Seker, “Determination of Air-Gap Eccentricity in Electric Motors Using Coherence Analysis”, IEEE Power Engineering Review, Vol. 20, No. 7, pp.48-50, 2000. S. Seker and E. Ayaz, “A reliability model for induction motor ball bearing degradation”, Electric Power Components & Systems, Vol. 31 No. 7, 2003, pp: 639-52, 2003.
  2. E. Ayaz, S. Seker and A. Ozturk, “Continuous Wavelet Transform for Bearing Damage Detection in Electric Motors”, IEEE Melecon, May 16-19, Benalm´adena (M´alaga), Spain. pp. 1130-33, 2006.
  3. E. Ayaz, A. Ozturk, S. Seker and B.R. Upadhyaya, “Fault detection based on continuous wavelet transform and sensor fusion in electric motors”, Compel, Vol. 28 No.2, pp. 454-70, 2009.
  4. S. Nandi, H.A. Toliyat and X. Li, “Condition Monitoring and Fault Diagnosis of Electrical Motors - A Review”, IEEE Transactions on energy conversion, Vol. 20, No. 4, pp. 719-29, 2005. S. Seker and E. Ayaz, “Feature extraction related to bearing damage in electric motors by wavelet analysis”, Journal of the Franklin Institute, Vol. 340, No. 2, pp. 125 –34, 2003.
  5. S. Ozturk, Low-Cost Direct Torque Control of Permanent Magnet Synchronous Motors Using Hall-Effect Sensors, M.S. Thesis, Texas A&M University, College Station, TX, 2005.
  6. J. Rosero, J. Cusido, A. Garcia, J. Ortega and L. Romeral, “Broken Bearings and Eccentricity Fault Detection for a Permanent Magnet Synchronous Motor” (2006), The 32ndAnnual Conference of the IEEE Industrial Electronics Society, Paris - France, pp. 964-69, 2006.
  7. M. B. Ebrahimi, J. Faiz, M. J. Roshtkhari and A. Z. Nejhad, “Static Eccentricity Fault Diagnosis in Permanent Magnet Synchronous Motor Using Time Stepping Finite Element Method”, IEEE Transactions on Magnetics, Vol. 44, No. 11, pp. 4297-4300, 2008.
  8. W. Roux, R. G. Harley and T. G. Habetler, “Detecting Rotor Faults in Low Power Permanent Magnet Synchronous Machines ”, IEEE Transactions on Power Electronics, Vol. 22, No. 1, pp. 322-28, 2007. M. Akar and I. Cankaya, “Diagnosis of static eccentricity fault in permanent magnet synchronous motor by on-line monitoring of motor current and voltage”, Istanbul University-Journal of Electrical and Electronics Eng