The Analysis of Own Signals of PM Electrical Machines – Example of Eccentricity
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The Analysis of Own Signals of PM Electrical Machines – Example of Eccentricity

Authors: M. Barański

Abstract:

This article presents a vibration diagnostic method designed for Permanent Magnets (PM) electrical machines–traction motors and generators. Those machines are commonly used in traction drives of electrical vehicles and small wind or water systems. The described method is very innovative and unique. Specific structural properties of machines excited by permanent magnets are used in this method - electromotive force (EMF) generated due to vibrations. There was analyzed number of publications, which describe vibration diagnostic methods, and tests of electrical machines and there was no method found to determine the technical condition of such machine basing on their own signals. This work presents field-circuit model, results of static tests, results of calculations and simulations.

Keywords: Electrical vehicle, permanent magnet, traction drive, vibrations, electrical machine, eccentricity, diagnostics, data acquisition, data analysis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1108130

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References:


[1] M.Barański, Vibration Diagnostic Method of Permanent Magnets Generators–Detecting of Vibrations Caused by Unbalance, IEEEXplore, 2014.
[2] M.Barański, PM Electrical Machines Diagnostic-Methods Selected, ICEMDS, 2014.
[3] M.Barański, Permanent Magnet Machine can be a Vibration Sensor for Itself, ICEMDS, 2014.
[4] M. Barański and A. Decner, The Vibration Acceleration ay = f(ax) Function as a Tool to Determining the Bearing Technical Condition, Zeszyty Problemowe–Maszyny Elektryczne, Katowice, Poland, 2012, pp. 171-175.
[5] M. Barański and A. Decner and A. Polak, Selected Diagnostic Methods of Electrical Machines Operating in Industrial Condition, IEEE TDEI, 5/2014.
[6] M. Barański and T. Jarek, Analysis of PMSM Vibrations Based On Back-EMF Measurements, IEEEXplore, 2014.
[7] M.Barański and A.Polak and A.Decner, Bearings Vibration Diagnosis Based On Hodograph X, Poland, Przegląd Elektrotechniczny, 1/2014, pp. 10-12.
[8] M. Maciazek and M. Pasko and D. Bula, Optimization of Time in Active Power Filter Control, 8th International Workshop OPEE, 2007.
[9] M. Maciazek and M. Pasko and D. Grabowski, Active Power Filters- Optimization of Sizing and Placement, Technical Sciences, 2013.
[10] M. Maciazek and M. Pasko, Prediction in Control Systems of Active Power Filters, Poland, Przegląd Elektrotechniczny, 2010.
[11] D. Mazur, The Rotor Eccentricity and the Permanent Magnets Arrangement on the Rotor Influence on the Cogging and Electromagnetic Torque of the Low-Speed Multi-Pole Generator, Poland, Przegląd Elektrotechniczny, 2014.
[12] S. Nandi and H.A. Toliyat, “Condition Monitoring and Fault Diagnosis of Electrical Machines-A Review”, Industry Applications Conference, 1999, pp.197-204.
[13] D. Torregrossa, “Multiphysics Finite-Element Modeling for Vibration and Acoustic Analysis of Permanent Magnet Synchronous Machine”, IEEE Transactions on Energy Conversion, 2011, pp 490-500.
[14] M. Barański, T. Glinka, Vibration Diagnostic Method of Permanent Magnets Generators–Detecting of Vibrations Caused by Unbalance, PL Patent application P.405669, 2014.
[15] M. Barański, T. Glinka, Vibration Diagnostic Method of Permanent Magnets Generators–Detecting of Vibrations Caused by Load Asymmetry, PL Patent application P.411942, 205.
[16] S. Szymaniec, J. Podhajecki, Determination Natural Frequencies of Stator Induction Machine, Maszyny Elektryczne: Zeszyty Problemowe, 87, 2010.
[17] S. Szymaniec., Natural Vibrations of Squirrel-Cage Induction Motor Stator of Low Power-Measurements, Maszyny Elektryczne: Zeszyty Problemowe, 3, 2012.
[18] M. Barański, B. Będkowski, Analysis of PMSM Vibrations Based On Back-EMF Measurements, Electrical Machines (ICEM), International Conference on, IEEEXplore, 1590-1593, 2014.
[19] A. Głowacz, W. Głowacz, Z. Głowacz, Recognition of Armature Current of DC Generator Depending On Rotor Speed Using FFT, MSAF-1 and LDA, Eksploatacja i Niezawodnosc-Maintenance And Reliability, 17, 2015.
[20] Chun-yao Lee, Yu-Hua Hsieh, Bearing Damage Detection of BLDC Motors Based On Current Envelope Analysis, Measurement Science Review, (6)12, 2012.
[21] P. Pistelok, T. Kądziołka, New Series of High Efficiency 2-Pole Synchronous Generator with Permanent Magnets, Maszyny Elektryczne: Zeszyty Problemowe, 100, 2013.
[22] A. Decner, Remote Monitoring of Electric Machines, Maszyny Elektryczne: Zeszyty Problemowe, 2011.
[23] P. Ostojic, A. Banerjee, D. C. Patel, W. Basu, S. Ali, Advanced Motor Monitoring and Diagnostics, Industry Applications, IEEE Transactions on, 3120- 3127, 2014.
[24] M. S. Islam, R. Islam, T. Sebastian, Noise and Vibration Characteristics of Permanent-Magnet Synchronous Motors Using Electromagnetic and Structural Analyses, Industry Applications, IEEE Transactions on, 3214- 3222, 2014.