• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
I. Jeong, B. J. Hyon, K. Nam, Jul 2013, Dynamic modeling and control for SPMSMs with internal turn short faults, IEEE Trans. on Power Electron., Vol. 28, No. 7, pp. 3495-3508DOI
2 
W. A. Memala., V. Rajini, 2013, Park's vector approach for online fault diagnosis of induction motor, in 2013 International Conference on Information Communications and Embedded System (ICICES)DOI
3 
M. S. Deepak, C. Anandita, K. Pasanta, 2014, Fault diagnosis of induction motor using parks vector approach, in 2014 International Conference om Advances in Electrical Engineering(ICAEE)DOI
4 
H. Armughan, T. G. Sufi, Q. K. Abdul, 2016, A Park's vector approach using process monitoring statistics of principal component analysis for machine fault detection, 2016 International Conference on Emerging Technologies (ICET 2016)DOI
5 
A. J. M. Cardoso, S. M. A. Cruz, D. S. B. Fonseca, Nov 1999, Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's vector approach, IEEE Trans. on Energy Conversion., Vol. 14, No. 3, pp. 595-598DOI
6 
R. M. Tallam, T. G. Habetler, R. G. Harley, May/June 2003, Stator winding turn-fault detection for closed-loop induction motor drives, IEEE Trans. on Industry Application, Vol. 39, No. 3, pp. 720-724DOI
7 
Q. Wu, May/June 2010, Fast single-turn sensitive stator interturn fault detection of induction machines based on positive- and negative-sequence third harmonic components of line currents, IEEE Trans. on Industry Application, Vol. 46, No. 3, pp. 974-983DOI
8 
B. G. Gu, July 2018, Offline interturn fault diagnosis method for induction motors by impedance analysis, IEEE Trans. on Industry Application, Vol. 65, No. 7, pp. 5913-5920DOI
9 
S. F. Legowski, A. H. M. S. Ula, A. M. Trzynadlowsh, July/Aug 1996, Instantaneous power as a medium for the signature analysis of induction motors, IEEE Trans. on Industry Application, Vol. 32, No. 4, pp. 904-909DOI
10 
Z. Liu, X. Yin, Z. Zhang, D. Chen, W. Chen, Sep 2004, Online rotor mixed fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors, IEEE Trans. on Energy Conversion, Vol. 19, No. 3, pp. 485-490DOI
11 
J. Cusidó, L. Romeral, J. A. Ortega, J. A. Rosero, A. G. Espinosa, Feb 2008, Fault detection in induction machines using power spectral density in wavelet decomposition, IEEE Trans. on Industry Electronics, Vol. 55, No. 2, pp. 633-643DOI
12 
A. M. da Silva, R. J. Povinelli, N. A. O. Demerdash, Mar 2008, Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes, IEEE Trans. on Industry Electronics, Vol. 55, No. 3, pp. 1310-1318DOI
13 
M. Drif, A. J. M. Cardoso, Apr. 2014, Stator fault diagnostics in squirrel cage three-phase induction motor drives using the instantaneous active and reactive power signature analyses, IEEE Trans. on Industry Information, Vol. 10, No. 2, pp. 1348-1360DOI
14 
B. G. Gu, J. H. Choi, I. S. Jung, Apr 2014, Development and analysis of inter-turn short fault model of PMSMs with series and parallel winding connections, IEEE Trans. Power Electron., Vol. 29, No. 4, pp. 2016-2026DOI
15 
B. G. Gu, Aug 2016, Study of IPMSM interturn faults part I: Develop- ment and analysis of models with series and parallel winding connections, IEEE Trans. Power Electron., Vol. 31, No. 8, pp. 5931-5943DOI
16 
B. G. Gu, Oct 2016, Study of IPMSM interturn faults part II: Online fault parameter estimation, IEEE Trans. Power Electron., Vol. 31, No. 10, pp. 7214-7223DOI
17 
R. M. Tallam, T. G. Habetler, May/June 2002, Transient model for induction machines with stator winding turn fault, IEEE Trans. on Industry Application, Vol. 38, No. 3, pp. 632-637DOI
18 
M. Eftekhari, M. Moallem, S. Sadri, M. Hsieh, Dec 2014, Online detection of induction motor’s stator winding short-circuit faults, IEEE Systems Journal., Vol. 8, No. 4, pp. 1272-1282DOI