Influence of nonconsecutive bar breakages in motor current signature analysis for the diagnosis of rotor faults in induction motors

IEEE Transactions on Energy Conversion

Volumn 25, Issue 1, 2010, Pages 80-89

  Riera Guasp, Martin ^a   Cabanas, Manés Fernández ^b   Antonino Daviu, Jose A ^a   Pineda Sánchez, Manuel ^a   Rojas García, Carlos H ^b  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Broken bar rotor faults; Fault diagnosis; Induction motors; Motor current signature analysis (MCSA); Nonadjacent broken bars; Space vector theory

Indexed keywords

BROKEN BAR; FAULT DIAGNOSIS; MOTOR CURRENT SIGNATURE ANALYSIS; ROTOR FAULT; VECTOR THEORY;

COAL BREAKAGE; ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FINITE ELEMENT METHOD; MAGNETIC FIELD EFFECTS; PHOTODEGRADATION; SQUIRREL CAGE MOTORS; VECTOR QUANTIZATION; VECTOR SPACES;

INDUCTION MOTORS;

EID: 77950689930     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEC.2009.2032622     Document Type: Article

References (21)

1. W. Deleroi, "Broken bar in a squirrel-cage rotor of an induction motor Description by superimposed fault-currents," Arch, elektro., vol. 67, pp. 91-99, 1984. (Pubitemid 14548331)
2. I. Kerzenbaum and C. F. Landy, "The existence of large inter-bar currents in three phase squirrel cage motors with rotor-bar and/or endring faults," IEEE Trans. Power App. Syst., vol. PAS-103, no. 7, pp. 1854-1862, Jul. 1984.
3. J. Pennman and A. Stavrou, "Broken rotor bars: Their effect on the transient performance of induction machines," Proc. Inst. Electr. Eng., Electr. Power Appl., vol. 143, no. 6, pp. 449-457, Nov. 1996.
4. F. Filippetti, G. Franceschini, C. Tassoni, and P. Vas, "AI techniques in induction machines diagnosis including the speed ripple effect," IEEE Trans. Ind. Appl, vol. 34, no. 1, pp. 98-108, Jan./Feb. 1998.
5. C. H. Rojas, M. G. Melero, M. F. Cabanas, G. A. Orcajo, M. P. Donsion, and J. Solares, "Analysis by the finite element method of the influence caused in the current distribution in rotor squirrel-cage induction motor and current spectrum by the number and distribution of faulty bars during a rotor failure," in Proc. IEEE Int. Symp. Diagnostics Elect. Mach., Power Electron. Drives (SDEMPED 2001), Grado, Italy, vol. 1, pp. 479-186.
6. C. Hargis, B. G. Gaydon, and K. Kamash, "The detection of rotor defects in induction motors," in Proc. 1982 IEE Int. Conf. Electr. Mach., Des. Appl, London, U.K., pp. 216-220.
7. M. H. Benbouzid, "A review of induction motors signature analysis as a medium for fault detection," IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 984-993, Oct. 2000.
8. A. Patyck, "Application of forward/backward components to the analysis of failure states of the squirrel cage motor. Part 2: Calculation of the current flow distribution on the squirrel cage and the stator and of the components of the electromagnetic moment," Arch, elektro., vol. 69, pp. 439-143, 1986.
9. H. A. Toliyat and T. A. Lipo, "Transient analysis of cage induction motors under stator rotor bar and end-ring faults," IEEE Trans. Energy Convers., vol. 10, no. 2, pp. 241-247, Jun. 1995.
10. T. J. Sobczyk and W. Maciolek, "Does the component (l-2s)f0 in sta tor current is sufficient for detection of rotor cage faults?," presented at the Proc. Int. Symp. Diagnostic Elect. Mach., Power Electron. Drives (SDEMPED 2005), Vienna, Austria, Sep. [CD-ROM].
11. A. Menacer, S. Moreau, G. Champenois, M. S. N. Said, and A. Benakcha, "Experimental detection of rotor failures of induction machines by stator current spectrum analysis in function of the broken rotor bars p osition and the load," in Proc. Int. Conf. Comput. Tool, Sep. 2007, pp. 1752-1758.
12. J. Faiz and B. M. Ebrahimi, "Locating rotor broken bars in induction motors using finite element method," Energy Convers. Manage, vol. 50, no. l,pp. 125-131, Jan. 2009.
13. G. Y. Sizov, A. Sayed-Ahmed, Y. Chia-Chou, and N. A. O. Demerdash, "Analysis and diagnostics of adjacent and nonadjacent broken rotor bar faults in squirrel-cage induction machines," IEEE Trans. Ind. Electron., vol 56, no. 11, pp. 4627-4641, Nov. 2009.
14. H. Henao, H. Razik, and G.-A. Capolino, "Analytical approach of the stator current frequency harmonics computation for detection of induction machine rotor faults," IEEE Trans. Ind. Appl., vol. 41, no. 3, pp. 801-807, May/Jun. 2005.
15. A. Bellini, F. Filippetti, G. Franceschini, and G. B. Kliman, "Quantitative evaluation of induction motor broken bars by means of electrical signature analysis," IEEE Trans. Ind. Appl., vol. 37, no. 5, pp. 1248-1255, Sep./Oct. 2000.
16. C. Concari, G. Franceschini, E. Lorenzani, and A. Toscani, "Severity assessment of rotor faults in closed loop induction drives by different approaches," in Proc. IEEE Int. Symp. Diagnostics Elect. Mach., Power Electron. Drives (SDEMPED), Sep. 2007, pp. 309-315.
17. J. Stepina, "Fundamental equations of the space vector analysis of electrical machines," Acta Tech. CSAV, vol. 2, pp. 184-198, 1968.
18. P. Vas, Parameter Estimation, Condition Monitoring, Diagnosis of Electrical Machines. Oxford, U.K.: Clarendon Press, 1993.
19. G. B. Kliman, J. Stein, and R. D. Endicott, "Noninvasive detection of broken rotor bars in operating induction motors," IEEE Trans. Energy Convers., vol. 3, no. 4, pp. 873-879, Dec. 1988.
20. M. Riera, J. Antonino-Daviu, J. Roger-Folch, and M. P. Molina, "The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failures," IEEE Trans. Ind. Appl, vol. 44, no. 3, pp. 716-726, May/Jun. 2008.
21. C. Rojas, M. G. Melero, M. F. Cabanas, J. M. Cano, G. A. Orcajo, and F. Pedrayes, "Finite element model for the study of inter-turn short-circuits in induction motors," in Proc. IEEE Int. Symp. Diagnostics Elect. Mach., Power Electron. Drives, Cracow, Poland, 2007, pp. 415-419.