Noninvasive rotor cage fault diagnostics in three-phase induction motors using the α, β instantaneous active power approach

International Journal of COMADEM

Volumn 10, Issue 3, 2007, Pages 19-28

  Drif, M'Hamed ^a   Cardoso, A J Marques ^{a,b,c,d,e,f,g,h,i}  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b Department of Electrical and Computer Engineering ^*  (Portugal)

^c Electrical Machines Laboratory

^d International Biographical Centre Advisory Council   (United Kingdom)

^e Albert Schwitzer International University   (Switzerland)

^f NEW YORK ACADEMY OF SCIENCES   (United States)

^g European Power Electronics and Drives Association (EPE)

^h IEEE

ⁱ Portuguese Engineers Association (ODE)   (Portugal)

Author keywords

Electrical signature analysis; Fault severity factor; Instantaneous active power; Rotor cage fault diagnosis; Squirrel cage induction motors

Indexed keywords

ELECTRICAL SIGNATURE ANALYSIS; FAULT SEVERITY FACTORS; ROTOR CAGE FAULT DIAGNOSIS; SQUIRREL CAGE INDUCTION MOTORS;

FAILURE ANALYSIS; INDUCTION MOTORS; NATURAL FREQUENCIES; SPECTRUM ANALYSIS; STATORS;

ROTORS (WINDINGS);

EID: 35348914708     PISSN: 13637681     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Bonnett, A. H. and Albers, T. (2001). Squirrel-cage rotor options for ac induction motors, IEEE Trans. on Ind. Applicat., Vol. 37, No. 4, July/Aug., pp. 1197-1209.
2. Bonnett, A. H. and Soukup, G. C. (1986). Rotorfailures in squirrel-cage induction motors, IEEE Trans, on Ind Applicat., Vol. 22, No. 6, Nov/Dec, pp. 1165-1173.
3. Benbouzid, M. E. H. and Kliman, G. B. (2003). What stator current processing-based techniques to use for induction motor rotor faults diagnosis?, IEEE Trans, on Energy Conversion, Vol. 18, No. 2, June, pp. 238-244.
4. Milimonfared, J., Meshgin Kelk. H., Nandi, S., Der Minassians, A. and Toliyat, H. A. (1999). A Novel approach for broken-rotor-bar detection in cage induction motors, IEEE Trans, on Ind. Applicat., Vol. 35, No. 5, Sept/Oct., pp. 1000-1006.
5. Benbouzid, M. E. H. (2000). A review of induction motors signature analysis as medium for fault detection, IEEE Trans, on Ind. Elec, Vol. 47, October, pp.984-993.
6. Faiz, J. et al (2006). Different faults and their diagnosis techniques in three-phase squirrel-cage induction motor-A review, Electro-magnetics, Vol. 26, pp. 543-569.
7. Nandi, S., Toliyat, H. A. and Li, X. (2005). Condition monitoring and fault diagnosis of electrical motors-A review, IEEE Trans. on Energy Conversion, Vol. 20. no4, September, pp. 719-729.
8. Cruz, S. M. A. and Cardoso, A. J. M. (2000). Rotor cage fault diagnosis in three-phase induction motors by the extended Park's vector approach, Electric Machines and Power Systems, Vol.28, pp.289-299.
9. Hsu, J. H. (1995). Monitoring of defects in induction motore through air-gap torque observation, IEEE Trans, on Ind. Applicat., Vol. 31, No. 5, Sept/Oct., pp. 1016-1021.
10. Drif, M., Benouzza N. and Dente, J. A. (1999). Rotor cage faults detection in 3-phase induction motors using instantaneous power spectrum, ELECTRIMACS' 99, Lisbon, Portugal, Sep. 14-16.
11. Cruz, S. M. A. and Cardoso, A. J. M. (1999). Rotor cage fault diagnosis in three-phase induction motors by the total instantaneous power spectral analysis, Conf Rec. IEEE-IAS. Annul. Meeting, Arizona. USA.
12. Trzynadlowski, A. M. and Ritchie, E. (2000). Comparative investigation of diagnostic media for induction motors: A case of rotor cage faults, IEEE Trans, on Ind. Elec., Vol. 47, October, pp. 1092-1099.
13. Kral, C. et al (2003). A comparison of rotor fault detection techniques with respect to the assessment of fault severity, SDEMPED 2003, August, Atlanta, GA, USA, pp- 265-270.
14. Eltabach, M., Chahata, A. and Zein, I. (2004). A comparison of external and internal methods of signal spectral analysis for broken rotor bars detection in induction motors, IEEE Trans, on Ind. Elec., Vol. 51. February, pp. 107-121.
15. Liu, Z., Yin, X., Zhang, Z. and Chen, D. (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, September, pp. 485-490.
16. Watanabe, E. H., Stephan, R. M. and Aredes, M. (1993). New concepts of instantaneous active and reactive powers in electrical systems with generic loads, IEEE Trans. Power Delivery, Vol. 8, No. 2, April, pp. 697-703.
17. Akagi, H. and Nabae, A. (1993). The p-q theory in three-phase systems under non-sinusoidal conditions, ETEP, Vol. 3, January, pp. 27-31.
18. Ferrero, A. and Supertt-Furga, G. (1991). A new approach to the definition of power components in three-phase systems under nonsinusoidal conditions, IEEE Trans. Instrum. Meas., Vol. 40, June, pp. 568-577.
19. Peng, F. Z. and Lai, J.-S. (1996). Generalized instantaneous reactive power theory for three-phase power system, IEEE Trans, on Instrum. and Meas., Vol. 45, February, pp. 293-297.
20. Tolbert, L. M. and Habetler, T. G. (2000). Comparison of time-based non-active power definitions for active filtering, CIEP, Mexico, October, pp. 73-79.
21. Fellippetti, F. F. et al (1998). AI technique in induction machines diagnosis including the speed ripple effect, IEEE Trans. Ind. Applicat., Vol. 34, No 1, pp. 98-108.