Experimental Validation of Motor Current Signature Analysis for a 2HP Induction Motor

Keywords: Condition based maintenance, fault detection, electric motors monitoring, MCSA


The  use  of  stator  currents  signal  analysis  for  rotating  electrical  machines  monitoring, particularly induction motors, has developed a growing interest, as the information contained in the spectrum of the current signal can indicate the  presence  of  various  types  of  both  electrical  and  mechanical  failures.  In this  work  a  test  bed  for  induction  motors  2  HP  was  implemented  in  order  to validate the MCSA (Motor Current Signature Analysis) methodology, for the  detection  of:  short  circuit  in  the  stator  winding,  broken  rotor  bars  and  eccentricity gap under different load conditions. Results show the dependency between the load level on the motor and the possibility to detect faults, and make possible to assess the feasibility of implementing MCSA methodology in of condition-based maintenance (CBM) schemes.

= 23 veces | PDF (ESPAÑOL (ESPAÑA))
= 32 veces|


Download data is not yet available.

Author Biographies

Jabid Eduardo Quiroga Mendez, Universidad Industrial de Santander

Escuela Ingeniería Mecánica, profesor

Silvia Juliana Oviedo Castillo, Universidad Industrial de Santander

Escuela Ingeniería Mecánica

Gabriel Ordóñez-Plata, Universidad Industrial de Santander

Escuela de Ingeniería Eléctrica Electrónica y Telecomunicaciones


O. Ojo, O. Osaloni, P. Kshirsagar. Models for the control and simulation of synchronous type machine drives under various fault conditions. Conference Record Ind. Applicat. Conf. 37th IAS Annual Meeting. Pittsburgh, USA. 2002. pp. 1533-1540.

M. Awadallah, M. Morcos. “ANFIS-based diagnosis and location of stator interturn faults in PM brushless DC motors”. IEEE Trans. Energy Conversion. Vol. 19. 2004. pp. 795-796.

A. Bonnett, G. Soukup. “Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors”. IEEE Trans. Ind. Appl. Vol. 28. 1992. pp. 921-937.

S. Nandi, H. Toliyat, Li. Xiaodong. “Condition monitoring and fault diagnosis of electrical motors-a review”. IEEE Trans. Energy Convers. Vol. 20. 2005. pp. 719-729.

S. Williamson, K. Mirzoian. “Analysis of Cage Induction Motors with Stator Winding Faults.” IEEE Trans. Power App. Syst. Vol. PAS-104. 1985. pp. 1838- 1842.

W. Thomson. On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure. Electric Machines and Drives Conference. IEMDC 2001. IEEE International. Cambridge, USA. 2001. pp. 891-898.

F. Filipetti, G. Franceschini, C. Tassoni, P. Vas. AI techniques in induction machines diagnosis including the speed rifle effect. Conf. Rec. 34th IAS Annu. Meeting. San Diego, USA. 1996. pp. 655-662.

N. Elkasabgy, A. Eastham, G. Dawson. “Detection of broken bars in the cage rotor on an induction machine.” IEEE Trans. Ind. Appl. Vol. 22. 1992. pp. 165-171.

W. Thomson, M. Fenger. Industrial application of current signature analysis to diagnose faults in 3-phase squirrel cage induction motor. Pulp and Paper Industry Technical Conference 2000. Atlanta, USA. pp. 205-211.

F. Filippetti, G. Franceschini, C. Tassoni, P. Vas. AI techniques in induction machines diagnosis including the speed ripple effect. Industry Applications Conference. 31st IAS Annual Meeting. San Diego, USA. Vol. 1. 1996. pp. 655-662.

J. Cameron, W. Thomson, A. Dow. “Vibration and current monitoring for detecting airgap eccentricity in large induction motors.” Proc. Inst. Elect. Eng. B. Vol. 133. 1986. pp. 155-163.

D. Dorrell, W. Thomson, S. Roach. “Analysis of airgap flux, current, and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors.” IEEE Trans. Ind. Appl. Vol. 33. 1997. pp. 24-34.

R. Obaid, T. Habetler, D. Gritter. A simplified technique for detecting mechanical faults using stator current in small induction motors. Ind Applicat Conf. 2000. Conference Record of the 2000 IEEE. Rome, Italy. Vol. 1. 2000. pp. 479-483.

How to Cite
Quiroga Mendez J. E., Oviedo Castillo S. J., & Ordóñez-Plata G. (2014). Experimental Validation of Motor Current Signature Analysis for a 2HP Induction Motor. Revista Facultad De Ingeniería Universidad De Antioquia, (70), 108-118. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/18653