Analytical approach of the stator current frequency harmonics computation for detection of induction machine rotor faults

The aim of this paper is to analyze theoretically and experimentally the stator current of a three-phase squirrel-cage induction machine in order to show how it is influenced by electrical rotor faults. The approach used for this study analyzes the modification introduced by n broken rotor bars in the rotor cage magnetomotive force and then estimates the resulting frequency spectrum in the stator current. This approach is validated in a 3-kW 230-V/400-V 50-Hz 2850-r/min two-pole three-phase induction machine, showing the sensitive frequency components to rotor fault condition.

[1]  G. B. Kliman,et al.  Noninvasive detection of broken rotor bars in operating induction motors , 1988 .

[2]  H.A. Toliyat,et al.  A novel approach for broken rotor bar detection in cage induction motors , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[3]  W. T. Thomson,et al.  Current signature analysis to detect induction motor faults , 2001 .

[4]  J. Penman,et al.  Detection and location of interturn short circuits in the stator windings of operating motors , 1994 .

[5]  Alberto Bellini,et al.  Quantitative Evaluation of Induction Motor Broken Bars By Means of Electric Signals Signatures , 2001 .

[6]  O Gol,et al.  Condition Monitoring of Electrical Machines , 1986 .

[7]  G.-A. Capolino A comprehensive analysis of the current status in low voltage induction motor diagnosis , 2000 .

[8]  Humberto Henao,et al.  Harmonic characteristics of an induction machine connected to a distribution network , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[9]  F. Filippetti,et al.  Quantitative evaluation of induction motor broken bars by means of electrical signature analysis , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[10]  Gojko Joksimovic,et al.  The detection of inter-turn short circuits in the stator windings of operating motors , 2000, IEEE Trans. Ind. Electron..

[11]  H. Henao,et al.  A frequency-domain detection of stator winding faults in induction machines using an external flux sensor , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[12]  Hamid A. Toliyat,et al.  Condition monitoring and fault diagnosis of electrical machines-a review , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[13]  H. Henao,et al.  An equivalent internal circuit of the induction machine for advanced spectral analysis , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[14]  J. Penman,et al.  Condition monitoring of electrical drives , 1986 .