Simple Electromagnetic Motor Model for Torsional Analysis of Variable Speed Drives with an Induction Motor

Torsional vibrations must be considered in the design of all high-power drive-trains including an induction motor. Electromagnetic (EM) field in the air gap of an induction motor generates additional magnetic stiffness and damping between the rotor and stator. The inclusion of these magnetic effects is limited by the availability of simple and portable motor models. The main aim of this paper is to introduce a motor model including the speed and torque variation. The presented model is based on the linearization of the common space-vector models of induction motors. The parameters of this model are identified for the rated operating condition. This motor model can be extended to include variable speed and torque operation. The numerical results demonstrate that this model describes accurately the magnetic effects over the large speed and torque range. In addition, the numerical results demonstrate the significance of magnetic stiffness and damping in variable speed motor-driven compressors with a soft coupling

Study of thermal stresses developed during a fatigue test on an electrical motor rotor cage

© 2018 Structural defects in the rotor cage of large electrical machines significantly impact their expected operational lifetime. This work presents the results of simulating the thermal stresses developed in a rotor cage during a fatigue test in which a bar breakage was achieved. A combined model featuring electrical, thermal and mechanical stages as well as three different meshes reflecting a progressing narrowing of one of the bars in its junction to the end ring are used for this purpose. The experimentally implemented startup and plug stopping transients are reproduced as well as, for comparison, the stall operation. The resulting stress levels are in agreement with the progression of the damage and concur with the stator measurements. Based on the analysis of the simulated rotor magnitudes, a strategy to diminish the thermal stresses in a damaged cage is proposed

2-D Magnetomechanical Transient Study of a Motor Suffering a Bar Breakage

© 1972-2012 IEEE. The analysis of the vibration response of electrical machines has importance in noise prediction and more recently, diagnosis of electrical faults, especially in the industrial environment, where it is a well-known technique. This work assesses the performance of a strongly coupled two-dimensional (2-D) magnetomechanical approach, as directly available in multiphysics software, for the simulation of an induction machine under heavy operational conditions: a direct-on-line startup. Both healthy and broken bar states are simulated in a time span long enough to allow the detailed study of the varying frequency components. The results yield, in addition to the usual electrical and magnetic quantities, electromagnetic-induced vibration components in the stator. A comparison with current and vibration experimental data is also performed showing a good agreement with variable frequency components and certain limitations concerning their amplitude

Particle filter-based estimation of instantaneous frequency for the diagnosis of electrical asymmetries in induction machines

"© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” Upon publication, authors are asked to include either a link to the abstract of the published article in IEEE Xplore®, or the article’s Digital Object Identifier (DOI).Fault diagnosis of induction machines operating under variable load conditions is still an unsolved matter. Under those regimes, the application of conventional diagnostic techniques is not suitable, since they are adapted to the analysis of stationary quantities. In this context, modern transient-based methodologies become very appropriate. This paper improves a technique, based on the application of Wigner Ville distribution as time frequency decomposition tool, using a particle filtering method as feature extraction procedure, to diagnose and quantify electrical asymmetries in induction machines, such as wound- rotor induction generators used in wind farms. The combination of both tools allows tracking several variable frequency harmon- ics simultaneously and computing their energy with high accu- racy, yielding magnitudes and values similar to those obtained by the application of the fast Fourier transform in stationary operation. The experimental results show the validity of the approach for rapid speed variations, independently of any speed sensor.Climente Alarcon, V.; Antonino Daviu, JA.; Haavisto, A.; Arkkio, A. (2014). Particle Filter-Based Estimation of Instantaneous Frequency for the Diagnosis of Electrical Asymmetries in Induction Machines. IEEE Transactions on Instrumentation and Measurement. 63(10):2454-2463. doi:10.1109/TIM.2014.231011324542463631

Air-gap force distribution and vibration pattern of Induction motors under dynamic eccentricity

[EN] A method for determining the signatures of dynamic eccentricity in the airgap force distribution and vibration pattern of induction machine is presented. The radial electromagnetic force distribution along the airgap, which is the main source of vibration, is calculated and developed into a double Fourier series in space and time. Finite element simulations of faulty and healthy machines are performed. They show that the electromagnetic force distribution is a sensible parameter to the changes in the machine condition. The computations show the existence of low frequency and low order force distributions, which can be used as identifiable signatures of the motor condition by measuring the corresponding low order vibration components. These findings are supported by vibration measurements and modal testing. The low frequency components offer an alternative way to the monitoring of slot passing frequencies, bringing new components that allow to discriminate between dynamic eccentricity and rotor mechanical unbalance. The method also revealed a non linear relationship between loading, stress waves and vibration during dynamic eccentricity.Jover Rodríguez, PV.; Belahcen, A.; Arkkio, A.; Laiho, A.; Antonino-Daviu, J. (2008). Air-gap force distribution and vibration pattern of Induction motors under dynamic eccentricity. Electrical Engineering. 90(3):209-218. doi:10.1007/s00202-007-0066-2S209218903Rao JS (2000). Vibratory condition monitoring of machines. CRC Pr. Llc., Boca RatonTavner P, Penman J (1987) Condition monitoring of electrical machines. Research Studies Press, Letchworth, pp 203–205Pöyhönen S, Negrea M, Jover P, Arkkio A and Hyötyniemi H (2003). Numerical magnetic field analysis and signal processing for fault diagnostic of electrical machines. COMPEL Int J Comput Math Elect Eng 22(4): 969–981Finley W, Hodowanec M, Holter W (2000) An analytical approach to solving motor vibration problems. IEEE Trans Industry Appl 363(5)Cameron JR, Thomson WT, Eng C, Dow AB (1986) Vibration and current monitoring for detecting airgap eccentricity in large induction motors. IEE Proc Inst Elect Eng 133(Pt. B, No. 3)Smith AC, Dorrell DG (1996) Calculation and measurements of unbalance magnetic pull in cage induction motors with eccentric rotors. Part 1: Analytical model. IEE Proc Elect Power Appl 143(3)Dorrell DG, Smith AC (1996) Calculation and measurements of unbalance magnetic pull in cage induction motors with eccentric rotors. Part 2: Experimental investigation. IEE Proc Elect Power Appl 143(3)Dorrell DG, Thomson WT and Roach S (1997). Analysis of airgap flux, current, and vibration signals as a function of a combination of static and dynamic eccentricity in 3-phase induction motors. IEEE Trans Indus Appl 33: 24–34Verma SP, Balan A (1994) Determination of radial forces in relation to noise and vibrations problems of squirrel cage induction motors. IEEE Trans Energy Convers 9(2)Vandevelde L, Melkebeek AA (2001) Numerical analysis of vibrations of squirrel-cage induction motors based on magnetic equivalent circuits and structural finite element models. In: Industry Application Conference, 2001. Thirsty-six IAS Annual Meeting. Conference records of the 2001 IEEE, vol 4, September/October 2001, pp 2288–2295Belahcen A, Arkkio A, Klinge P, Linjama J, Voutilainen V, Westerlund J (1999) Radial forces calculation in a synchronous generator for noise analysis. In: Proceeding of the Third Chinese International Conference on Electrical Machines, August 29–31, 1999, Xi’an, China, pp 199–122Jover Rodríguez P, Belahcen A, Arkkio A (2007) Signatures of electrical faults in force distribution and vibration pattern of induction motors. IEE Proc Elect Power Appl (in press)Arkkio A (1987) Analysis of induction motor based on numerical solution of the magnetic field and circuits equations. Acta Polytechn. Scand Electri Eng Serie 59:97. Available at  Ewings DG (2000). MODAL TESTING: theory, practice and application, 2nd edn. Research studies press Ltd., BaldockDeBertoli MJ, Salon SJ, Burow DW, Slavik CJ (1993) Effects of rotor eccentricity and parallel windings on induction machine behaviour: a study using finite element analysis. IEEE Trans Magnet 29(2)Arkkio A, Antila M, Pokki K, Lanto E (2000) Electromagnetic force in a whirling cage rotor. IEE Proc Elect Power Appl 147(5

Diagnosis of Induction Motors Under Varying Speed Operation by Principal Slot Harmonic Tracking

© 1972-2012 IEEE. A detailed study on the energy content of a principal slot harmonic (PSH) in an induction motor operating at variable slip is carried out. The machine is tested under different faulty conditions, namely, broken rotor bar, mixed eccentricity, and interturn short circuit. The use of a combined time-frequency analysis and particle filtering feature extraction procedure allows tracking the evolution of a PSH under different load profiles and integrating its energy. The proposed fault indicator provides values that are equivalent with the traditional one for stationary operation even in the case of pulsating load. The results show that the energy in the PSH reflects the overall state of the machine under these conditions. Furthermore, procedures to discern the different faults in real applications are proposed

Simulation of an Induction Motor's Rotor after Connection

© 1965-2012 IEEE. Transients have proven to be a specially demanding operation mode for rotor cages in induction motors. The combination of thermal and mechanical stresses causes damage in weak points of the secondary circuit of these machines. A 3-D multiphysics computation may shed some light into the conditions under faults, such as broken bars developing, while taking into account phenomena as interbar currents. With the aim of reducing the computational cost involved, this paper carries out a 3-D simulation of just the rotor during the first 2.5 cycles after a direct-on-line connection, with the tangential component of the magnetic vector potential mapped on its iron surface from the results obtained by the 2-D locked rotor finite-element simulation. The results provide an insight into the skin effect and mechanical loads in the cage, a magnetic coupling between the end ring and the shaft, as well as the limitations of the weakly coupled magnetoelastic analysis

Transient tracking of low and high-order eccentricity-related components in induction motors via TFD tools

[EN] The present work is focused on the diagnosis of mixed eccentricity faults in induction motors via the study of currents demanded by the machine. Unlike traditional methods, based on the analysis of stationary currents (Motor Current Signature Analysis (MCSA)), this work provides new findings regarding the diagnosis approach proposed by the authors in recent years, which is mainly focused on the fault diagnosis based on the analysis of transient quantities, such as startup or plug stopping currents (Transient Motor Current Signature Analysis (TMCSA)), using suitable time-frequency decomposition (TFD) tools. The main novelty of this work is to prove the usefulness of tracking the transient evolution of high-order eccentricity-related harmonics in order to diagnose the condition of the machine, complementing the information obtained with the low-order components, whose transient evolution was well characterised in previous works. Tracking of high-order eccentricity-related harmonics during the transient, through their associated patterns in the time-frequency plane, may significantly increase the reliability of the diagnosis, since the set of fault-related patterns arising after application of the corresponding TFD tool is very unlikely to be caused by other faults or phenomena. Although there are different TFD tools which could be suitable for the transient extraction of these harmonics, this paper makes use of a WignerVille distribution (WVD)-based algorithm in order to carry out the time-frequency decomposition of the startup current signal, since this is a tool showing an excellent trade-off between frequency resolution at both high and low frequencies. Several simulation results obtained with a finite element-based model and experimental results show the validity of this fault diagnosis approach under several faulty and operating conditions. Also, additional signals corresponding to the coexistence of the eccentricity and other non-fault related phenomena making difficult the diagnosis (fluctuating load torque) are included in the paper. Finally, a comparison with an alternative TFD tool the discrete wavelet transform (DWT) applied in previous papers, is also carried out in the contribution. The results are promising regarding the usefulness of the methodology for the reliable diagnosis of eccentricities and for their discrimination against other phenomena. © 2010 Elsevier Ltd.All rights reserved.This work was supported by the Spanish 'Ministerio de Educacion y Ciencia', in the framework of the 'Programa Nacional de proyectos de Investigacion Fundamental', project reference DP12008-06583/DPI.Climente Alarcón, V.; Antonino-Daviu, J.; Riera-Guasp, M.; Pons Llinares, J.; Roger-Folch, J.; Jover-Rodriguez, P.; Arkkio, A. (2011). Transient tracking of low and high-order eccentricity-related components in induction motors via TFD tools. Mechanical Systems and Signal Processing. 25(2):667-679. https://doi.org/10.1016/j.ymssp.2010.08.008S66767925

Combined Model for Simulating the Effect of Transients on a Damaged Rotor Cage

© 2017 IEEE. The expansion of the transient operation of electrical machines as, for instance, in vehicle traction applications, demands an accurate computation of the thermal behavior under these conditions in order to enhance the economy of the design and provide a precise estimation of the overload capacity. In addition, heavy transients have been identified as specially damaging for the rotor cage of large induction motors. The aim of this paper is the development of a model able to simulate in detail the thermal and mechanical effects of a heavy transient on an induction's motor rotor featuring a damaged (with a reduced section on one of its ends) rotor bar. Some preliminary results that provide a qualitative understanding of the development of a bar breakage during a fatigue test are presented

Fault Diagnosis in Induction Motors using the Hilbert-Huang Transform

[EN] The work carried out by the authors consists of applying a modern time-frequency decomposition (TFD) tool, the Hilbert-Huang Transform (HHT), to the diagnosis and the evaluation of electromechanical faults in induction machines. These machines are widely spread nowadays, being involved in many industrial processes as well as in power generation installations such as nuclear plants. The core of the proposed methodology is the analysis of the current demanded by the stator winding of the machine during its connection process known as startup transient. Once the current is analyzed, characteristic patterns caused by the evolution of certain components created by the corresponding faults are identified; this evolution is due to the dependence of these fault-related components on the slip s, a quantity varying during a direct startup transient from 1 to near 0. In the present paper, the HHT is applied to the diagnosis of two different faults: rotor bar breakages and mixed eccentricities. In comparison with other TFD tools, the HHT provides certain advantages that are discussed in the work. The validity of the approach is proven through several experimental tests on real machines with different sizes and characteristics. The results show the potential of the methodology for reliable fault diagnosis and for correct discrimination between the different electromechanical failures.Antonino Daviu, J.; Riera-Guasp, M.; Pineda Sánchez, M.; Puche Panadero, R.; Pérez, RB.; Jover-Rodriguez, P.; Arkkio, A. (2011). Fault Diagnosis in Induction Motors using the Hilbert-Huang Transform. Nuclear Technology. 173(1):26-34. doi:10.13182/NT11-A11481S2634173