Open Access Open Access  Restricted Access Subscription or Fee Access

Non-Intrusive Methods to Detect Air-Gap Eccentricity Faults in Three-Phase Induction Motor

S. Bindu(1*), S. David Sumam(2), Thomas V. Vinod(3)

(1) Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, India
(2) Department of Electronics & Communication Engineering, National Institute of Technology Karnataka, India
(3) Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, India
(*) Corresponding author


DOI: https://doi.org/10.15866/iree.v15i1.17805

Abstract


The focus of this paper is model-based behavioural analysis for the diagnosis of the air-gap eccentricity fault condition in the three-phase induction machine. To facilitate reliable and sensitive diagnosis, an online condition monitoring system has to depend on multiple signals and signatures. Air-gap mixed eccentricity fault signatures derived from three non-invasive methods such as stator line current, instantaneous power, and estimated air-gap torque are presented. Modified winding function theory and multiple coupled circuit approaches are used to model the machine. The sidebands present around the fundamental frequency in the spectrum of stator current, and around double the supply frequency in the spectrum of instantaneous power indicate the presence of air-gap mixed eccentricity. The low frequencies which exist near the DC component in the spectra of the air-gap torque and instantaneous power also indicate the same. These specific components were also observed in the high-frequency spectra around the principal slot harmonics. The modelling approach, the torque estimation approach, the simulation results at different severity and load conditions, and the experimentation result in a motor with prefabricated eccentricity are presented.
Copyright © 2020 Praise Worthy Prize - All rights reserved.

Keywords


Air-Gap Eccentricity; Asymmetric Machine Modelling; Multiple Coupled Circuit Model; Motor Current Signature Analysis; Air-Gap Torque Estimation; Condition Monitoring in a Three-Phase Induction Motor

Full Text:

PDF


References


P. Zhang, Y. Du, T. G. Habetler, B. Lu, A survey of condition monitoring and protection methods for medium-voltage induction motors, IEEE Transactions on Industry Applications, vol. 47 n. 1, January/February 2011, pp. 34-46.
https://doi.org/10.1109/tia.2010.2090839

S. Bindu, V. V. Thomas, Diagnoses of internal faults of three-phase squirrel cage induction motor - A review, International Conference on Advances in Energy Conversion Technologies, 23-25 January 2014, Manipal, India.
https://doi.org/10.1109/icaect.2014.6757060

S. Prainetr, S. Wangnippanto, S. Tunyasirut, Detection of mechanical fault of induction motor using harmonic current and sound acoustic, International Electrical Engineering Congress (iEECON), 2017, Pattaya, Thailand.
https://doi.org/10.1109/ieecon.2017.8075725

G. Mirzaeva, K. I. Saad, M. G. Jahromi, Comprehensive diagnostics of induction motor faults based on measurement of space and time dependencies of air-gap flux, IEEE Transactions on Industry Applications, vol. 53 n. 3, May/June 2017, pp. 2657 -2666.
https://doi.org/10.1109/tia.2016.2628718

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

M. J. Picazo-Ródenas, J. A. Daviu, P. Redón, H. Razik, D. López-Pérez, Use of isothermal representation for infrared-based fault detection in induction motors, IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 29 August – 1 September 2017, Tinos, Greece.
https://doi.org/10.1109/demped.2017.8062415

M. H. Drif, A. M. Cardoso, Air-gap-eccentricity fault diagnosis, in three-phase induction motors, by the complex apparent power signature analysis, IEEE Transactions on Industry Electronics, vol. 55 n. 3, March 2008, pp. 1404 – 1410.
https://doi.org/10.1109/tie.2007.909076

R. R. Schoen, T. G. Habetler, Evaluation and implementation of a system to eliminate arbitrary load effects in current-based monitoring of induction machines, IEEE Transactions on Industry Applications, vol. 33 n. 6, November/December 1997, pp. 1571 – 1577.
https://doi.org/10.1109/28.649970

R. Puche-Panadero, J. Pons-Llinares, J. Roger-Folch, M. Pineda-Sanchez, Diagnosis of eccentricity based on the Hilbert transform of the startup transient current, IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 31 August-3 September 2009, Cargese, France.
https://doi.org/10.1109/demped.2009.5292787

G. R. Bossio, C. H. De Angelo, J. A. Solsona, G. O. Garcia, M. I. Valla, Application of an additional excitation in inverter-fed induction motors for air-gap eccentricity diagnosis, IEEE Transactions on Energy Conversions, vol. 21 n. 4, December 2006, pp. 839 – 847.
https://doi.org/10.1109/tec.2006.874218

Kaddari, M., Ennawaoui, C., El Mouden, M., Hajjaji, A., Semlali, A., Diagnosis of Shaft Misalignment Fault by Piezoelectric Materials to Improve Reliability of Induction Motors, (2019) International Journal on Engineering Applications (IREA), 7 (4), pp. 137-144.
https://doi.org/10.15866/irea.v7i4.17653

Sawitri, D., Heryanto, M., Suprijono, H., Purnomo, M., Kusumoputro, B., Vibration-Signature-Based Inter-Turn Short Circuit Identification in a Three-Phase Induction Motor Using Multiple Hidden Layer Back Propagation Neural Networks, (2018) International Review of Electrical Engineering (IREE), 13 (2), pp. 98-106.
https://doi.org/10.15866/iree.v13i2.13881

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

Morteza, R. S., Meshgin, K. H. et al., Air-gap eccentricity effects on harmonic contents of field in synchronous generators, (2010) International Review of Electrical Engineering (IREE), 5 (1), pp. 83-89.

Elwalaty, M., Jemli, M., Ben Azza, H., Experimental Investigation and Optimal Air Gap Selection for Electric Vehicles Wireless Charging System, (2019) International Review of Electrical Engineering (IREE), 14 (6), pp. 398-406.
https://doi.org/10.15866/iree.v14i6.17134

Braham, A., Lachiri, Z., Diagnosis of broken bar fault in induction machines using advanced digital signal processing, (2010) International Review of Electrical Engineering (IREE), 5 (4) pp. 1460-1468.

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

Khodja, M., Boudinar, A., Bendiabdellah, A., Effect of Kaiser Window Shape Parameter for the Enhancement of Rotor Faults Diagnosis, (2017) International Review of Automatic Control (IREACO), 10 (6), pp. 461-467.
https://doi.org/10.15866/ireaco.v10i6.13077

Azouzi, K., Boudinar, A., Bendiabdellah, A., Detection of Bearing Faults in Induction Motor by a Combined Approach SVD-Kalman Filter, (2018) International Review of Automatic Control (IREACO), 11 (1), pp. 14-22.
https://doi.org/10.15866/ireaco.v11i1.13501

N. M. M. Nascimento, S. P. P. Silva, P. P. R. Filho, C. M. S. Medeiros, Higher-order statistics applied to machine learning as an approach to identify broken rotor bars in induction motors, IEEE Latin America Transactions, vol. 16 n. 8, 2018, pp. 2267–2274.
https://doi.org/10.1109/tla.2018.8528245

E. Resendiz-Ochoa, R. A. Osornio-Rios, J. P. Benitez-Rangel, R. D. J. Romero-Troncoso, L. A. Morales-Hernandez, Induction motor failure analysis: an automatic methodology based on infrared imaging, IEEE Access, vol. 6, 2018, pp. 76993–77003.
https://doi.org/10.1109/access.2018.2883988

G. Mirzaeva, K. I. Saad, Advanced diagnosis of stator turn-to-turn faults and static eccentricity in induction motors based on internal flux measurement, IEEE Transactions on Industry Applications, vol. 54 n. 4, March 2018, pp. 3961–3970.
https://doi.org/10.1109/tia.2018.2821098

F. Dalvand, M. Kang, S. Dalvand, M. Pecht, Detection of generalized-roughness and single-point bearing faults using linear prediction-based current noise cancellation, IEEE Transactions on Industrial Electronics, vol. 65 n. 12, 2018, pp. 9728 – 9738.
https://doi.org/10.1109/tie.2018.2821645

Irfan, M., Saad, N., Ibrahim, R., Asirvadam, V., An Intelligent Diagnostic Condition Monitoring System for AC Motors via Instantaneous Power Analysis, (2013) International Review of Electrical Engineering (IREE), 8 (2), pp. 664-672.
https://doi.org/10.1007/s10845-015-1048-2

X. Luo, Y. Liao, H. A. Toliyat, A. El-Antably, T. A. Lipo, Multiple coupled circuit modeling of induction machines, IEEE Transactions on Industry Applications, vol. 31 n. 2, March/April 1995, pp. 311 – 318.
https://doi.org/10.1109/28.370279

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

H. A. Toliyat, M. S. Arefeen, A. G. Parlos, A method for dynamic simulation of air-gap eccentricity in induction machines, IEEE Transactions on Industry Applications, vol. 32, n. 4, July/August 1996, pp. 910 – 918.
https://doi.org/10.1109/28.511649

S. Nandi, R. M. Bharadwaj, H. A. Toliyat, Performance analysis of a three-phase induction motor under mixed eccentricity condition, IEEE Transactions on Energy Conversions, vol. 17 n. 3, September 2002, pp. 392 – 399.
https://doi.org/10.1109/tec.2002.801995

V. V. Thomas, K. Vasudevan, V. J. Kumar, Online cage rotor fault detection using air-gap torque spectra, IEEE Transactions on Energy Conversions, vol. 18 n. 2, June 2003, pp. 265 – 270.
https://doi.org/10.1109/tec.2003.811718

J. S. Hsu, Monitoring of defects in induction motors through air-gap torque observation, IEEE Transactions on Industry Applications, vol. 31 n. 5, September/October 1995, pp. 1016 -1021.
https://doi.org/10.1109/28.464514


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2020 Praise Worthy Prize