Detection and severity estimation of static and dynamic eccentricity in induction motors using finite element analysis

This paper presents a diagnostic scheme to detect the presence of static eccentricity (SE) and dynamic eccentricity (DE) faults in induction motors (IMs) by finite element analysis (FEA). Novel methods have been developed to detect these two faults and distinguish them so that suitable safety measures can be taken to mitigate these faults. Power spectral density (PSD) analysis on the stator currents provided the identification index to determine the presence of the faults and to determine its severity level. This scheme is simple as it uses commercially available finite element package - Maxwell, and also does not require complicated calculations. The procedure will be useful in identifying the level of fault with reasonable accuracy at higher loads with the simulation models; based on experimentation on the real motor only under healthy condition. Simulations have been performed with varying load conditions and different levels of eccentricity and these results have been compared with the experiments to verify the effectiveness of this diagnostic scheme.

[1]  S. Ahmed,et al.  Detection of Rotor Slot and Other Eccentricity-Related Harmonics in a Three-Phase Induction Motor with Different Rotor Cages , 2001, IEEE Power Engineering Review.

[2]  C. Hansen,et al.  Estimation of Static Eccentricity Severity in Induction Motors for On-Line Condition Monitoring , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[3]  M. Ramamoorty,et al.  Online condition monitoring of induction motors through signal processing , 2005, 2005 International Conference on Electrical Machines and Systems.

[4]  S. E. Zouzou,et al.  Static eccentricity fault diagnosis using the signatures analysis of stator current and air gap magnetic flux by finite element method in saturated induction motors , 2013, Int. J. Syst. Assur. Eng. Manag..

[5]  David G. Dorrell,et al.  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 , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[6]  R. Romary,et al.  Finite element analysis of electromagnetic and mechanical effects of rotor faults in induction motors , 2013, Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013.

[7]  W. T. Thomson,et al.  Vibration and current monitoring for detecting airgap eccentricity in large induction motors , 1986 .

[8]  Hamid-Reza Bahrami,et al.  Iterative Condition Monitoring and Fault Diagnosis Scheme of Electric Motor for Harsh Industrial Application , 2015, IEEE Transactions on Industrial Electronics.

[9]  W. T. Thomson,et al.  On-line current monitoring and application of a finite element method to predict the level of static airgap eccentricity in three-phase induction motors , 1998 .

[10]  V. Fireteanu,et al.  Diagnosis of induction motor rotor faults based on finite element evaluation of voltage harmonics of coil sensors , 2012, 2012 IEEE Sensors Applications Symposium Proceedings.

[11]  N. Ertugrul,et al.  Induction Motor Static Eccentricity Severity Estimation Using Evidence Theory , 2007, 2007 IEEE International Electric Machines & Drives Conference.

[12]  Jawad Faiz,et al.  Dynamic analysis of mixed eccentricity signatures at various operating points and scrutiny of related indices for induction motors , 2010 .

[13]  David G. Dorrell,et al.  On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors-industrial case histories verify the predictions , 1999 .