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Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation

Yıl 2012, Cilt: 2 Sayı: 3, 45 - 50, 09.10.2012

Öz

Özet

Asenkron motorlarda kırık rotor çubuğu arızalarının stator akımları incelenerek tespiti için uygulanan işaret işleme yöntemlerinde, şebeke temel frekansının arıza frekansına oranla çok büyük ve frekansların biribirine yakın olması hatanın tespitinde büyük zorluk oluşturmaktadır. Bu zorluğu aşmak için, şebeke temel frekansını bastırmada çentik süzgeçleri (notch filters) yaygın şekilde kullanılmaktadır. Bu şekilde yapılan süzgeçleme hem daha fazla hesap gerektirmekte hem de bazı durumlarda şebeke temel frekansına yakın olan arıza frekans değerlerini de bastırmaktadır. Bu çalışmada stator d-ekseni bileşenini elde etmek için faz akımlarına uygulanan Park dönüşümüyle temel frekans bastırılmaktadır. Asenkron motorlarda oluşan kırık rotor çubuğu arızalarının tespiti için stator akımının d-ekseni bileşeni üzerinde dalgacık paketi ve Fourier analizleri yapılması önerilmektedir.

Abstract

Broken rotor bar detection via analysis of line currents is very difficult since frequency of faulty component is very close to system fundamental frequency and the magnitudes of fault signals are very small compared to the dominant magnitude of fundamental frequency. To overcome this difficulty, notch filters are used in general to suppress the fundamental. This type of filtering requires more computation and it also affects the magnitudes of fault related frequency components since they are very close to the fundamental. In this study, the Park`s transformation is applied to the phase currents in obtaining stator d-axis component to block out the fundamental frequency. Wavelet packet and Fourier analyses of d-axis component of motor stator current is proposed for broken rotor bar detection.

Kaynakça

  • Rao B.K.N., Handbook of Condition Monitoring, Elsevier Advanced Technology, Oxford, UK, 1996.
  • Finley W.R., "An Analytical approach to solving motor vibration problems," IEEE Trans. on Industry Applications, vol. 36, no 5, pp.1467-80, Sep./Oct. 2000.
  • Collacott R.A., Vibration Monitoring and Diagnosis,New York: Wiley, 1979.
  • Yen G.G. ve Lin K.C., "Wavelet packet feature extraction for vibration monitoring," IEEE Trans. Ind. Electron., vol. 47, no. 3, pp. 650-667, June 2000.
  • Kryter R.C. ve Haynes H.D., "Condition monitoring of machinery using motor current signature analysis" Sound and Vibration, 14-21, 1989.
  • Riley C.M., Lin B.K., Habetler T.G. ve Kliman G.B., "Stator current harmonics and their causal vibrations: a preliminary investigation of sensorless vibration monitoring applications," IEEE Trans. on Industry Applications, Vol. 35, no 1, pp. 94-9, Jan/Feb 1999.
  • Kliman G.B.,. Premerlani W.J, Yazici B., Koegl R.A. ve Mazereeuw J., "Sensorless online motor diagnostics," IEEE Comput. Appl. Power, vol. 10, no.2, pp. 39-43, 1997.
  • Benbouzid M.E., "A review of induction motor signature analysis as a medium for faults detection," IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 984-993 Oct. 2000.
  • Eren L. ve Devaney M.J., "Bearing damage detection via wavelet packet decomposition of the stator current," IEEE Trans. Instrum. Meas., 53, 431- 436, 2004.
  • Şeker S. ve Ayaz E., “Feature extraction related to bearing damage in electric motors by wavelet analysis”, Journal of the Franklin Institute, 340(2), 125-134, 2003.
  • Liu J., Wang W., Golnaraghi F. ve Liu K., "Wavelet spectrum analysis for bearing fault diagnostics," Measurement Science and Technology, vol. 19, no. 1, pp. 1-10, 2008.
  • Giaouris D., Finch J.W., Ferreira O.C., Kennel R.M. ve El-Murr G.M., "Wavelet denoising for electric drives," IEEE Trans. Ind. Electron., vol. 55, no. 2, pp. 543-550, 2008.
  • Chow T.W.S. ve Hai S., "Induction Machine Fault Diagnostic Analysis with Wavelet Technique," IEEE Trans. Ind. Electron., vol. 51, no. 3, pp. 558-565, 2004.
  • Filippetti F., Franceschini G. ve Tassoni C., "Neural network aided online diagnostics of induction motor rotor faults," IEEE Trans. Industry Applications, vol. 31, no. 4, pp. 892-899, Jul.-Aug. 1995.
  • Ballal M.S., Khan Z.J,, Suryawanshi H.M. ve Sonolikar R.L., "Adaptive neural fuzzy inference system for the detection of inter-turn insulation and bearing wear faults in induction motor," IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 250-258, 2007.
  • Haji M. ve Toliyat H.A., "Pattern Recognition-A Technique for Induction Machines Rotor Broken Bar Detection," IEEE Trans. Ener Conver, vol. 16, no. 4, pp. 312-317, 2001.
  • Ayhan B., Chow M. ve Song M., "Multiple Discriminant Analysis and Neural Network Based Monolith and Partition Fault Detection Schemes for Broken Rotor bar in Induction Motors," IEEE Trans. Industrial Electronics, vol. 53, no. 4, pp. 1298-1308, 2006
  • Onel I.Y. ve Benbouzid M.E.H., Induction Motors Bearing Failures Detection and Diagnosis Using a RBF ANN Park Pattern Based Method, International Review of Electrical Engineering (IREE), vol. 3 n. 1, pp. 159 - 165, Feb. 2008.
  • Aydın İ., Karaköse M. ve Akın E., “Kırık rotor çubuğu ve stator arızalarının teşhisinde yapay sinir ağı yaklaşımı”, Erciyes Üniversitesi Fen Bilimleri Dergisi, Cilt 1-2, 134- 149, 2009.
  • Onel I.Y. ve Benbouzid M.E.H., "Induction motor bearing failure detection and diagnosis: Park and concordia transform approaches comparative study," IEEE/ASME Transactions on Mechatronics, vol. 13, no. 2, pp. 257-262, 2008.
  • Cruz S.M.A ve Cardoso A.J.M., “Rotor cage fault diagnosis in three-phase induction motors by extended Park's vector approach,” in Proc. 1998 Int. Conf. Electrical Machines, vol. 3, Istanbul, Turkey, pp. 1844– 1848.
  • Eren L., “Enhanced feature detection in bearing health diagnosis with spectral post processing,” International Review of Electrical Engineering (IREE), vol. 4 no. 2, pp. 260-268, Apr. 2009.
  • Güran F., “Use of Park transformation in harmonic suppression for wavelet packet based broken rotor bar detection,” Yüksek Lisans Tezi, Bahçeşehir Üniversitesi, 2011.
  • Toliyat H.A. ve Lipo T.A., "Transient analysis of cage induction machine under stator, rotor bar and end ring faults," IEEE Trans. Energy Conv., 10(2), 241-247, 1995.
Yıl 2012, Cilt: 2 Sayı: 3, 45 - 50, 09.10.2012

Öz

Kaynakça

  • Rao B.K.N., Handbook of Condition Monitoring, Elsevier Advanced Technology, Oxford, UK, 1996.
  • Finley W.R., "An Analytical approach to solving motor vibration problems," IEEE Trans. on Industry Applications, vol. 36, no 5, pp.1467-80, Sep./Oct. 2000.
  • Collacott R.A., Vibration Monitoring and Diagnosis,New York: Wiley, 1979.
  • Yen G.G. ve Lin K.C., "Wavelet packet feature extraction for vibration monitoring," IEEE Trans. Ind. Electron., vol. 47, no. 3, pp. 650-667, June 2000.
  • Kryter R.C. ve Haynes H.D., "Condition monitoring of machinery using motor current signature analysis" Sound and Vibration, 14-21, 1989.
  • Riley C.M., Lin B.K., Habetler T.G. ve Kliman G.B., "Stator current harmonics and their causal vibrations: a preliminary investigation of sensorless vibration monitoring applications," IEEE Trans. on Industry Applications, Vol. 35, no 1, pp. 94-9, Jan/Feb 1999.
  • Kliman G.B.,. Premerlani W.J, Yazici B., Koegl R.A. ve Mazereeuw J., "Sensorless online motor diagnostics," IEEE Comput. Appl. Power, vol. 10, no.2, pp. 39-43, 1997.
  • Benbouzid M.E., "A review of induction motor signature analysis as a medium for faults detection," IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 984-993 Oct. 2000.
  • Eren L. ve Devaney M.J., "Bearing damage detection via wavelet packet decomposition of the stator current," IEEE Trans. Instrum. Meas., 53, 431- 436, 2004.
  • Şeker S. ve Ayaz E., “Feature extraction related to bearing damage in electric motors by wavelet analysis”, Journal of the Franklin Institute, 340(2), 125-134, 2003.
  • Liu J., Wang W., Golnaraghi F. ve Liu K., "Wavelet spectrum analysis for bearing fault diagnostics," Measurement Science and Technology, vol. 19, no. 1, pp. 1-10, 2008.
  • Giaouris D., Finch J.W., Ferreira O.C., Kennel R.M. ve El-Murr G.M., "Wavelet denoising for electric drives," IEEE Trans. Ind. Electron., vol. 55, no. 2, pp. 543-550, 2008.
  • Chow T.W.S. ve Hai S., "Induction Machine Fault Diagnostic Analysis with Wavelet Technique," IEEE Trans. Ind. Electron., vol. 51, no. 3, pp. 558-565, 2004.
  • Filippetti F., Franceschini G. ve Tassoni C., "Neural network aided online diagnostics of induction motor rotor faults," IEEE Trans. Industry Applications, vol. 31, no. 4, pp. 892-899, Jul.-Aug. 1995.
  • Ballal M.S., Khan Z.J,, Suryawanshi H.M. ve Sonolikar R.L., "Adaptive neural fuzzy inference system for the detection of inter-turn insulation and bearing wear faults in induction motor," IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 250-258, 2007.
  • Haji M. ve Toliyat H.A., "Pattern Recognition-A Technique for Induction Machines Rotor Broken Bar Detection," IEEE Trans. Ener Conver, vol. 16, no. 4, pp. 312-317, 2001.
  • Ayhan B., Chow M. ve Song M., "Multiple Discriminant Analysis and Neural Network Based Monolith and Partition Fault Detection Schemes for Broken Rotor bar in Induction Motors," IEEE Trans. Industrial Electronics, vol. 53, no. 4, pp. 1298-1308, 2006
  • Onel I.Y. ve Benbouzid M.E.H., Induction Motors Bearing Failures Detection and Diagnosis Using a RBF ANN Park Pattern Based Method, International Review of Electrical Engineering (IREE), vol. 3 n. 1, pp. 159 - 165, Feb. 2008.
  • Aydın İ., Karaköse M. ve Akın E., “Kırık rotor çubuğu ve stator arızalarının teşhisinde yapay sinir ağı yaklaşımı”, Erciyes Üniversitesi Fen Bilimleri Dergisi, Cilt 1-2, 134- 149, 2009.
  • Onel I.Y. ve Benbouzid M.E.H., "Induction motor bearing failure detection and diagnosis: Park and concordia transform approaches comparative study," IEEE/ASME Transactions on Mechatronics, vol. 13, no. 2, pp. 257-262, 2008.
  • Cruz S.M.A ve Cardoso A.J.M., “Rotor cage fault diagnosis in three-phase induction motors by extended Park's vector approach,” in Proc. 1998 Int. Conf. Electrical Machines, vol. 3, Istanbul, Turkey, pp. 1844– 1848.
  • Eren L., “Enhanced feature detection in bearing health diagnosis with spectral post processing,” International Review of Electrical Engineering (IREE), vol. 4 no. 2, pp. 260-268, Apr. 2009.
  • Güran F., “Use of Park transformation in harmonic suppression for wavelet packet based broken rotor bar detection,” Yüksek Lisans Tezi, Bahçeşehir Üniversitesi, 2011.
  • Toliyat H.A. ve Lipo T.A., "Transient analysis of cage induction machine under stator, rotor bar and end ring faults," IEEE Trans. Energy Conv., 10(2), 241-247, 1995.
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Akademik ve/veya teknolojik bilimsel makale
Yazarlar

Levent Eren Bu kişi benim

Ferzan Güran

Yayımlanma Tarihi 9 Ekim 2012
Gönderilme Tarihi 9 Ekim 2012
Yayımlandığı Sayı Yıl 2012 Cilt: 2 Sayı: 3

Kaynak Göster

APA Eren, L., & Güran, F. (2012). Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation. EMO Bilimsel Dergi, 2(3), 45-50.
AMA Eren L, Güran F. Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation. EMO Bilimsel Dergi. Haziran 2012;2(3):45-50.
Chicago Eren, Levent, ve Ferzan Güran. “Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation”. EMO Bilimsel Dergi 2, sy. 3 (Haziran 2012): 45-50.
EndNote Eren L, Güran F (01 Haziran 2012) Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation. EMO Bilimsel Dergi 2 3 45–50.
IEEE L. Eren ve F. Güran, “Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation”, EMO Bilimsel Dergi, c. 2, sy. 3, ss. 45–50, 2012.
ISNAD Eren, Levent - Güran, Ferzan. “Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation”. EMO Bilimsel Dergi 2/3 (Haziran 2012), 45-50.
JAMA Eren L, Güran F. Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation. EMO Bilimsel Dergi. 2012;2:45–50.
MLA Eren, Levent ve Ferzan Güran. “Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation”. EMO Bilimsel Dergi, c. 2, sy. 3, 2012, ss. 45-50.
Vancouver Eren L, Güran F. Motor Akım İmza Analizinde Park Dönüşümüyle Temel Harmonik Bastırımı / Fundamental Harmonic Suppression in MCSA by Park Transformation. EMO Bilimsel Dergi. 2012;2(3):45-50.

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