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Characterization of Fault Signature Due to Combined Air-Gap Eccentricity and Rotor Faults in Induction Motors


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DOI: https://doi.org/10.15866/iremos.v14i5.19670

Abstract


An accurate means of non-invasive condition monitoring of the popular industrial drive, three-phase squirrel-cage induction motor, can help to avoid unscheduled maintenance downtime and loss. Faults like air-gap eccentricity can exist even in a newly assembled drive and hence may co-exist with other internal defects. Despite it being a possible situation, the occurrence of simultaneous faults has seldom been studied. Therefore, there is a need for identifying fault signatures of combined fault conditions in a non-invasive manner. This paper presents a detailed model-based study on a three-phase squirrel-cage induction motor with the simultaneous existence of broken rotor-bar and air-gap mixed eccentricity faults using spectral analysis of stator current, instantaneous power, and estimated air-gap torque signals. The modelling of the machine is done using the Multiple Coupled Circuit method and modified to model the presence of the combined fault conditions. A comparative evaluation with various fault conditions and their severity is carried out by spectral analysis, and unique slip-dependent frequency components are identified in the spectra of diagnostic signals. This fault characterization is the most significant contribution of this paper.
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Keywords


Air-Gap Eccentricity; Broken Rotor-Bar; Condition Monitoring; Air-Gap Torque; Fault Diagnosis; Induction Motors; Instantaneous Power; Motor Current Signature Analysis; Multiple Coupled Circuit Model

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References


M. Seera, C. P. Lim, S. Nahavandi, and C. K. Loo, Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models, Expert Syst. Appl., Vol. 41 (Issue 10): 4891-4903, Aug. 2014.
https://doi.org/10.1016/j.eswa.2014.02.028

P. Zhang, Y. Du, T. G. Habetler, and B. Lu, A survey of condition monitoring and protection methods for medium-voltage induction motors, IEEE Trans. Ind. Appl., Vol. 47(Issue 1): 34-46. Jan.-Feb. 2011.
https://doi.org/10.1109/TIA.2010.2090839

S. Bindu, and V. V. Thomas, Diagnoses of internal faults of three phase squirrel cage induction motor - A review, ICAECT, pp. 48-54, Manipal, India., 2014.
https://doi.org/10.1109/ICAECT.2014.6757060

H. A. Toliyat, M. S. Arefeen and A. G. Parlos, A method for dynamic simulation of air-gap eccentricity in induction machines, IEEE Trans. Ind. Appl., Vol.32(Issue .4): pp. 910-918, July-Aug. 1996.
https://doi.org/10.1109/28.511649

S. Nandi, R. M. Bharadwaj and H. A. Toliyat, Performance analysis of a three-phase induction motor under mixed eccentricity condition, IEEE Power Engineering Review, Vol. 22 (Issue 7): 49-49, July 2002.
https://doi.org/10.1109/MPER.2002.4312354

P. A. Delgado-Arredondo, D. Morinigo-Sotelo, R. A. Osornio-Rios, J. G. Avina-Cervantes, H. Rostro-Gonzalez and R. J. Romero-Troncoso, Methodology for fault detection in induction motors via sound and vibration signals, Mech Syst. Signal Process., Vol. 83: 568-589, Jan. 2017.
https://doi.org/10.1016/j.ymssp.2016.06.032

F. Immovilli, A. Bellini, R. Rubini and C. Tassoni, Diagnosis of bearing faults in induction machines by vibration or current signals: A critical comparison, IEEE Trans. Ind. Appl., Vol.46 (Issue4):1350-1359,July-Aug.2010.
https://doi.org/10.1109/TIA.2010.2049623

S. Prainetr, S. Wangnippanto and S. Tunyasirut, Detection mechanical fault of induction motor using harmonic current and sound acoustic, iEECON, pp. 1-4, Pattaya, 2017.
https://doi.org/10.1109/IEECON.2017.8075725

M. J. Picazo-Ródenas, J. A. Daviu, P. Redón, H. Razik and D. López-Pérez, Use of isothermal representation for infrared-based fault detection in induction motors, SDEMPED, pp. 591-599. Tinos, 2017.
https://doi.org/10.1109/DEMPED.2017.8062415

A. Giantomassi, F. Ferracuti, S. Iarlori, G. Ippoliti and S. Longhi, Electric motor fault detection and diagnosis by Kernel density estimation and Kullback-Leibler divergence based on stator current measurements, IEEE Trans. Ind. Electron., Vol. 62 (Issue.3):1770-1780,Mar.2015.
https://doi.org/10.1109/TIE.2014.2370936

Bindu, S., Thomas, V., A Modified Direct-Quadrature Axis Model for Characterization of Air-gap Mixed Eccentricity Faults in Three-Phase Induction Motor, (2018) International Review on Modelling and Simulations (IREMOS), 11 (6), pp. 359-365.
https://doi.org/10.15866/iremos.v11i6.15513

Yang, H. Pen, Z. Wang and C. S. Chang, Feature Knowledge Based Fault Detection of Induction Motors Through the Analysis of Stator Current Data, IEEE Trans. Instr. Meas., Vol. 65(Issue 3): 549-558, March 2016.
https://doi.org/10.1109/TIM.2015.2498978

G. Mirzaeva, K. I. Saad and M. G. Jahromi, Comprehensive Diagnostics of Induction Motor Faults Based on Measurement of Space and Time Dependencies of Air Gap Flux, IEEE Trans. Ind. Appl., Vol. 53(Issue: 3): 2657-2666, May-June 2017.
https://doi.org/10.1109/TIA.2016.2628718

P. A. Panagiotou, I. Arvanitakis, N. Lophitis, J. A. Antonino-Daviu and K. N. Gyftakis, A New Approach for Broken Rotor Bar Detection in Induction Motors Using Frequency Extraction in Stray Flux Signals, IEEE Trans. Ind. Appl., Vol. 55 (Issue 4): 3501-3511, July-Aug. 2019.
https://doi.org/10.1109/TIA.2019.2905803

R. R. Schoen and T. G. Habetler, Evaluation and implementation of a system to eliminate arbitrary load effects in current-based monitoring of induction machines, IEEE Trans. Ind. Appl., Vol. 33(Issue 6): 1571-1577, Nov.-Dec. 1997.
https://doi.org/10.1109/28.649970

C. Bruzzese, Analysis and Application of Particular Current Signatures (Symptoms) for Cage Monitoring in Nonsinusoidally Fed Motors With High Rejection to Drive Load, Inertia, and Frequency Variations, IEEE Trans. Ind. Electron., Vol. 55(Issue 12):4137-4155, Dec. 2008.
https://doi.org/10.1109/TIE.2008.2004669

R. Puche-Panadero, J. Pons-Llinares, J. Roger-Folch and M. Pineda-Sanchez, Diagnosis of eccentricity based on the Hilbert transform of the startup transient current, IEEE DEMPED, pp. 1-6, Cargese, 2009.
https://doi.org/10.1109/DEMPED.2009.5292787

M. Pineda-Sanchez, M. Riera-Guasp, J. Roger-Folch, J. A. Antonino-Daviu, J. Perez-Cruz and R. Puche-Panadero, Diagnosis of Induction Motor Faults in Time-Varying Conditions Using the Polynomial-Phase Transform of the Current, IEEE Trans. Ind. Electron., vol. 58(Issue 4): pp. 1428-1439, April 2011.
https://doi.org/10.1109/TIE.2010.2050755

V. V. Thomas, K. Vasudevan and V. J. Kumar, Online cage rotor fault detection using air-gap torque spectra, IEEE Trans. on Energy. Convers., Vol. 18(Issue 2):265-270, June 2003.
https://doi.org/10.1109/TEC.2003.811718

J. S. Hsu, Monitoring of defects in induction motors through air-gap torque observation, IEEE Trans. Ind. Applns, Vol. 31(Issue 5): 1016-1021, Sept.-Oct. 1995.
https://doi.org/10.1109/28.464514

S. Shao, S. McAleer, R. Yan and P. Baldi, Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning, IEEE Trans. Ind. Informatics, Vol. 15(Issue 4): 2446-2455, April 2019.
https://doi.org/10.1109/TII.2018.2864759

J. Wang, P. Fu, L. Zhang, R. X. Gao and R. Zhao, Multilevel Information Fusion for Induction Motor Fault Diagnosis, IEEE/ASME Trans. Mechatronics, Vol. 24(Issue 5): 2139-2150, Oct. 2019.
https://doi.org/10.1109/TMECH.2019.2928967

M. Drif and A. J. Marques Cardoso, Discriminating the Simultaneous Occurrence of Three-Phase Induction Motor Rotor Faults and Mechanical Load Oscillations by the Instantaneous Active and Reactive Power Media Signature Analyses, IEEE Trans. Ind. Electron., Vol. 59(Issue 3):1630-1639, March 2012.
https://doi.org/10.1109/TIE.2011.2161252

A. Garcia-Perez, R. d. J. Romero-Troncoso, E. Cabal-Yepez and R. A. Osornio-Rios, The Application of High-Resolution Spectral Analysis for Identifying Multiple Combined Faults in Induction Motors, IEEE Trans. Ind. Electronics, Vol. 58(Issue 5):2002-2010, May 2011.
https://doi.org/10.1109/TIE.2010.2051398

R. J. Romero-Troncoso et al., FPGA-based online detection of multiple combined Faults in Induction Motors Through Information Entropy and Fuzzy Inference, IEEE Trans. Ind. Electron., Vol. 58(Issue 11):5263-5270, Nov. 2011.
https://doi.org/10.1109/TIE.2011.2123858

M. Y. Kaikaa, M. Hadjami and A. Khezzar, Effects of the simultaneous presence of static eccentricity and broken rotor bars on the stator current of induction machine, IEEE Trans. Ind. Electron., Vol. 61(Issue 5):2452-2463, May 2014.
https://doi.org/10.1109/TIE.2013.2270216

V. Climente-Alarcón, J. A. Antonino-Daviu, M. Riera-Guasp, J. Roger-Folch, P. Jover-Rodriguez and A. Arkkio, Use of high order harmonics for diagnosis of simultaneous faults via Wigner-Ville distributions, IECON, pp.1029-1034, Glendale, USA, 2010.
https://doi.org/10.1109/IECON.2010.5675509

E. Cabal-Yepez, R. Saucedo-Gallaga, A. G. Garcia-Ramirez, A. A. Fernandez-Jaramillo, M. Pena-Anaya and M. Valtierra-Rodriguez, FPGA-Based Online Detection of Multiple-Combined Faults through Information Entropy and Neural Networks, Int. Conf. Reconfig. Comp. FPGAs, pp. 244-249, Quintana Roo, 2010.
https://doi.org/10.1109/ReConFig.2010.31

A. Seghiour, T. Seghier and B. Zegnini, Diagnostic of the simultaneous of dynamic eccentricity and broken rotor bars using the magnetic field spectrum of the air-gap for an induction machine, CEIT, pp. 1-6, Tlemcen, 2015.
https://doi.org/10.1109/CEIT.2015.7233158

L. Frosini, M. Minervini, L. Ciceri and A. Albini, Multiple faults detection in low voltage inverter-fed induction motors, SDEMPED, pp. 323-329, Toulouse, France, 2019.
https://doi.org/10.1109/DEMPED.2019.8864885

G. Gentile, S. Meo, A. Ometto, Induction motor current signature analysis to diagnostics, of stator short circuits, SDEMPED, pp. 47-51, Atlanta, GA,USA, 2003.

Meo, S., Ometto, A., Rotondale, N., Diagnostic-oriented modelling of induction machines with stator short circuits, (2012) International Review on Modelling and Simulations (IREMOS), 5 (3), pp. 1202-1209.

Meo, S., Ometto, A., Rotondale, N., Influence of closed-loop control operations on detecting induction machine stator faults, (2012) International Review of Electrical Engineering (IREE), 7 (3), pp. 4359-4365.

Sadiki, L., El Hani, S., Guedira, S., Ouachtouk, I., Evaluation of the Detectability of Open Phase Faults in Multiphase Induction Machine Based on Instantaneous Power, Instantaneous Space Vector and Neutral Voltage, (2021) International Journal on Engineering Applications (IREA), 9 (1), pp. 39-48.
https://doi.org/10.15866/irea.v9i1.19982

Harir, M., Bendiabdellah, A., Induction Motor Faults Diagnosis when Considering Bars Skew and Saturation Effects, (2019) International Journal on Energy Conversion (IRECON), 7 (1), pp. 18-28.
https://doi.org/10.15866/irecon.v7i1.15549

Gherabi, Z., Toumi, D., Benouzza, N., Denai, M., Stator Inter-Turn Short-Circuit and Eccentricity Faults Detection in Permanents Magnets Synchronous Motors Using Line Current Spectrum Analysis, (2020) International Review of Electrical Engineering (IREE), 15 (1), pp. 54-68.
https://doi.org/10.15866/iree.v15i1.17638

Bindu, S., Sumam, S., Vinod, T., Non-Intrusive Methods to Detect Air-Gap Eccentricity Faults in Three-Phase Induction Motor, (2020) International Review of Electrical Engineering (IREE), 15 (1), pp. 41-53.
https://doi.org/10.15866/iree.v15i1.17805

M. A. Mazzoletti, P. D. Donolo, C. M. Pezzani, M. O. Oliveira, G. R. Bossio and C. H. De Angelo, Stator Faults Detection on Induction Motors Using Harmonic Sequence Current Components Analysis, IEEE Latin America Trans., Vol. 19 (Issue. 5): 726-734, May 2021.
https://doi.org/10.1109/TLA.2021.9448286

Harir, M., Bendiabdellah, A., Boudinar, A., A Proposed Technique for Discrimination between Saturation Phenomenon and Short-Circuit Faults in Induction Motor, (2018) International Review on Modelling and Simulations (IREMOS), 11 (5), pp. 333-342.
https://doi.org/10.15866/iremos.v11i5.15465

X. Luo, Y. Liao, H. A. Toliyat, A. El-Antably, T. A. Lipo, Multiple coupled circuit modeling of induction machines, IEEE Trans. Ind. Appl. Vol. 31(Issue 2): 311-318, Mar.-Apr. 1995.
https://doi.org/10.1109/28.370279

H. A. Toliyat and T. A. Lipo, Transient analysis of cage induction machines under stator, rotor bar and end ring faults, IEEE Trans. Energy Convers., Vol. 10(Issue 2):241-247, June 1995.
https://doi.org/10.1109/60.391888


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