Mehmet AKAR, Mustafa EKER

Eccentricity fault diagnosis in a permanent magnet synchronous motor under nonstationary speed conditions

Electric motor faults decrease production capacity and increase maintenance costs. Today, predictive detection based on real-time monitoring and fault detection is taking the place of periodic applications. In this study, a new method is presented for the detection of eccentricity faults in permanent magnet synchronous motors. The motor current and the rotor speed were monitored under stationary and nonstationary speed and different load conditions, after which the fault detection was carried out via angular domain-order tracking method. The obtained results were compared with traditional fast Fourier transform results. It was observed that the suggested method can successfully detect the fault for stationary and nonstationary signals. In addition, the position of the fault-related components are constant independent of the motor current frequency, speed, and load levels.

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[1] Akar M, Eker M. Demagnetization fault diagnosis in permanent magnet synchronous motors. Prz Elektrotechniczn 2013; 89: 229-233.
[2] Eker M, Akar M. A novel approach for demagnetization fault diagnosis in permanent magnet synchronous motors. Journal of New Results in Engineering and Natural Science 2013; 1: 1-13.
[3] Ebrahimi MB, Faiz J, Roshtkhari MJ. Static, dynamic and mixed eccentricity fault diagnosis in permanent magnet synchronous motors. IEEE T Ind Electron 2009; 56: 4727-4739.
[4] Eker M. Sabit mıknatıslı senkron motorda demagnetizasyon ve eksenden ka¸cıklık arızalarının tespiti. MSc, Gaziosmanpa¸sa University, Tokat, Turkey, 2013 (in Turkish).
[5] Akar M, C¸ ankaya ˙I. Broken rotor bars fault detection in inverter fed squirrel cage induction motors by using stator current analysis and fuzzy logic. Turk J Electr Eng Co 2012; 20: 1077-1089.
[6] Nandi S, Toliyat HA, Li X. Condition monitoring and fault diagnosis of electrical machines-a review. IEEE T Energy Conver 2005; 20: 719-729.
[7] Rosero JA, Cusido J, Garcia A, Ortega JA, Romeral L. Broken bearings and eccentricity fault detection for a permanent magnet synchronous motor. In: 32nd Annual Conference on IEEE Industrial Electronics; 710 November 2006; Paris, France. New York, NY, USA: IEEE. pp. 964-969.
[8] Ebrahimi MB, Faiz J, Roshtkhari MJ, Nejhad AZ. Static eccentricity fault diagnosis in permanent magnet synchronous motor using time stepping finite element method. IEEE T Magn 2008; 44: 4297-4300.
[9] Akar M, C¸ ankaya ˙I. Diagnosis of static eccentricity fault in permanent magnet synchronous motor by on-line monitoring of motor current and voltage. ˙Istanbul University Journal of Electrical and Electronics Engineering 2009; 9: 959-967.
[10] Akar M, Ta¸skın S, S¸eker S, C¸ ankaya ˙I. Detection of static eccentricity for permanent magnet synchronous motors using the coherence analysis. Turk J Electr Eng Co 2010; 18: 963-974.
[11] Ebrahimi MB, Faiz MJ. Diagnosis and performance analysis of three phase permanent magnet synchronous motors with static, dynamic and mixed eccentricity. IET Electr Power App 2010; 4: 53-66.
[12] Hong J, Park S, Hyun D, Kang T, Lee SB, Kral C, Haumer A. Detection and classification of rotor demagnetization and eccentricity faults for pm synchronous motors. IEEE T Ind Appl 2012; 48: 923-932.
[13] Da Y, Shi X, Krishnamurthy M. A new approach to fault diagnostics for permanent magnet synchronous machines using electromagnetic signature analysis. IEEE T Power Electr 2013; 28: 4104-4112.
[14] Alameh K, Cit´e N, Hoblos G, Barakat G. Multiphysical modeling for fault detection in permanent magnet synchronous motors. In: IEEE 2015 International Conference on Industrial Technology; 1719 March 2015; Seville, Spain. New York, NY, USA: IEEE. pp. 781-786.
[15] Akar M, Hekim M, Orhan U. Mechanical fault detection in permanent magnet synchronous motors using equal width discretization-based probability distribution and a neural network model. Turk J Electr Eng Co 2015; 23: 813-823.
[16] Blough JR. Adaptive resampling - transforming from the time to the angle domain. In: IMAC-XXIV 2006 Conference & Exposition on Structural Dynamics; 30 January2 February 2006; St Louis, MO, USA. Bethel, CT, USA: SEM.pp. 583-597.
[17] National Instruments. Sound and Vibration Measurement Suite 2009 Help Manual. Part Number 372416C-01. Austin, TX, USA: National Instruments, 2009.