Relevant bibliographies by topics / Modelling; induction machines; modelling

Academic literature on the topic 'Modelling; induction machines; modelling'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Modelling; induction machines; modelling"

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Coates, C., D. W. J. Pulle, and A. Veltman. "Modelling of single phase induction machines." Australian Journal of Electrical and Electronics Engineering 1, no. 3 (January 2004): 151–56. http://dx.doi.org/10.1080/1448837x.2004.11464101.

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Slemon, G. R. "Modelling of induction machines for electric drives." IEEE Transactions on Industry Applications 25, no. 6 (1989): 1126–31. http://dx.doi.org/10.1109/28.44251.

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Raju, M. Naga, and M. Sandhya Rani. "Mathematical Modelling of Linear Induction Motor." International Journal of Engineering & Technology 7, no. 4.24 (November 27, 2018): 111. http://dx.doi.org/10.14419/ijet.v7i4.24.21868.

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The Linear Induction Motor is a special purpose electrical machines it produces rectilinear motion in place of rotational motion. By using D-Q axes equivalent circuit the mathematical modelling is done because to distinguish dynamic behavior of LIM, because of the time varying parameters like end effect, saturation of core, and half filled slot the dynamic modelling of LIM is difficult. For simplification hear we are using the two axes modelling because to evade inductances time varying nature it becomes complex in modelling, this also reduces number of variables in the dynamic equation. Modelling is done using MATLAB/SIMULINK. LIM can be controlled by using sliding model control, vector control, and position control.
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Ouadi, Hamid, Fouad Giri, and Luc Dugard. "Accounting for magnetic saturation in induction machines modelling." International Journal of Modelling, Identification and Control 14, no. 1/2 (2011): 27. http://dx.doi.org/10.1504/ijmic.2011.042337.

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Tenhunen, A., and A. Arkkio. "Modelling of induction machines with skewed rotor slots." IEE Proceedings - Electric Power Applications 148, no. 1 (2001): 45. http://dx.doi.org/10.1049/ip-epa:20010036.

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Kindl, Vladimir, Miroslav Byrtus, Bohumil Skala, and Vaclav Kus. "Key Assembling Issues Relating to Mechanical Vibration of Fabricated Rotor of Large Induction Machines." Communications - Scientific letters of the University of Zilina 21, no. 2 (May 24, 2019): 58–68. http://dx.doi.org/10.26552/com.c.2019.2.58-68.

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In many applications, where rotating machines of high power are used, high demands on reliability and safety are laid. Precise manufacturing procedures has to be kept even in case of machines retrofits when e.g. rotors are newly assembled. Even small inaccuracies or misguiding the precise technological procedure can lead to improper running of the machine and it can result in shut-down of complete drive. In case of primary circuits of nuclear power plants, it further means the shut-down of the whole power plant. Consequently, it results in significant financial losses (foregone profit and cost given by problem fixing). The paper presents a methodology of vibration origin investigation in case of large rotating machines which are part of drives like pump, compressors etc. The methodology is based on the detection of undesirable vibration using a diagnostic system on-site and further it uses mathematical modelling of corresponding mechanical parts to reveal the vibration origin. The modelling along with the measurement showed that the detected dangerous vibration is caused by misguided assembling of the rotor of the machine.
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Mekahlia, Abdelhak, Eric Semail, Franck Scuiller, and Hussein Zahr. "Reduced-Order Model of Rotor Cage in Multiphase Induction Machines: Application on the Prediction of Torque Pulsations." Mathematical and Computational Applications 25, no. 1 (January 29, 2020): 11. http://dx.doi.org/10.3390/mca25010011.

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For three-phase induction machines supplied by sinusoidal current, it is usual to model the n-bar squirrel-cage by an equivalent two-phase circuit. For a multiphase induction machine which can be supplied with different harmonics of current, the reduced-order model of the rotor must be more carefully chosen in order to predict the pulsations of torque. The proposed analysis allows to avoid a wrong design with non-sinusoidal magnetomotive forces. An analytical approach is proposed and confirmed by Finite-Element modelling at first for a three-phase induction machine and secondly for a five-phase induction machine.
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Terron-Santiago, Carla, Javier Martinez-Roman, Ruben Puche-Panadero, and Angel Sapena-Bano. "A Review of Techniques Used for Induction Machine Fault Modelling." Sensors 21, no. 14 (July 16, 2021): 4855. http://dx.doi.org/10.3390/s21144855.

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Over the years, induction machines (IMs) have become key components in industry applications as mechanical power sources (working as motors) as well as electrical power sources (working as generators). Unexpected breakdowns in these components can lead to unscheduled down time and consequently to large economic losses. As breakdown of IMs for failure study is not economically feasible, several IM computer models under faulty conditions have been developed to investigate the characteristics of faulty machines and have allowed reducing the number of destructive tests. This paper provides a review of the available techniques for faulty IMs modelling. These models can be categorised as models based on electrical circuits, on magnetic circuits, models based on numerical methods and the recently proposed in the technical literature hybrid models or models based on finite element method (FEM) analytical techniques. A general description of each type of model is given with its main benefits and drawbacks in terms of accuracy, running times and ability to reproduce a given fault.
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HARROUZ, Abdelkader, Fadila TAHIRI, Fatiha BEKRAOUI, and Ibrahim BOUSSAID. "Modelling and Simulation of Synchronous Inductor Machines." Algerian Journal of Renewable Energy and Sustainable Development 01, no. 01 (June 15, 2019): 8–23. http://dx.doi.org/10.46657/ajresd.2019.1.1.2.

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This study focuses on the study of the compartment of the synchronous inductor machine with variable speed, fed by a threephase inverter. Several transients were treated by simulation (start unloading, introducing a torque load, reversing and speed setpoint change). Then engine cushion at both loss and when starting without the damper. In addition, robustness tests on the parametric variation of (MSRB) were also performed. Based on the results of simulations, the control technique studied makes it possible to obtain good dynamic and static performances and has a robustness with respect to the external perturbation and the parametric variation.
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M S, Bhagyashree, and Mrs Raksha Adappa. "Modelling And Simulation Of An Induction Machine." IJIREEICE 4, no. 2 (April 11, 2016): 119–23. http://dx.doi.org/10.17148/ijireeice/ncaee.2016.24.

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Dissertations / Theses on the topic "Modelling; induction machines; modelling"

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Göl, Özdemir. "Dynamic modelling of induction machines /." Title page, contents and abstract only, 1993. http://web4.library.adelaide.edu.au/theses/09PH/09phg595.pdf.

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Abdi-Jalebi, Ehsan. "Modelling and instrumentation of Brushless Doubly-Fed (induction) Machines." Thesis, University of Cambridge, 2007. https://www.repository.cam.ac.uk/handle/1810/252033.

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Ahmed, M. M. "Modelling of inverter-fed induction machine." Thesis, University of Manchester, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234246.

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Potter, Benjamin Alexander. "Investigation into the input impedance of induction machines using measurement and modelling." Thesis, University of Reading, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501347.

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This thesis presents material that aims to further the understanding of the variation of the input impedance of induction machines with frequency. The input impedance is shown to be of importance when predicting or mitigating the effects of harmonics in machines that are driven by an inverter. The main body of this thesis consists of experimental results from a study that characterises the input impedance of thirteen different induction machines of various sizes and with different numbers of poles.
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Andersen, Peter Scavenius. "Modelling and analysis of asynchronous and synchronous torques in split-phase induction machines." Thesis, University of Glasgow, 2008. http://theses.gla.ac.uk/82/.

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In this thesis, the nature of asynchronous and synchronous torques in a split-phase induction machine is investigated and quantified. The equivalent circuit for this type of machine is derived using the rotating field theory. It is extended to include harmonic effects. Using this model, winding harmonics and permeance harmonics may be calculated independently of each other so that the model can be used to analyse asynchronous torques from winding harmonics as well as synchronous torques from permeance harmonics. These are calculated separately. The asynchronous torques appear as perturbations in the steady-state torque-speed curve while the synchronous torques only appear at specific speeds. The synchronous torques are superimposed onto the torque-speed curves to model both effects together. The model predictions are compared against test results using purpose-built experimental machines together with production machines. These have varying rotor bar number and skew. Different methods are used to assess the synchronous torques. It is found that measuring synchronous locking torque is not a straightforward matter; however, reasonable agreement is found between calculation and measurement. The work highlights the need for the correct choice of stator and rotor slot numbers together with the effect skew has on reducing the synchronous and asynchronous locking torques.
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Okoro, Ogbonnaya Inya. "Dynamic and thermal modelling of induction machine with non-linear effects." Kassel : Kassel Univ. Press, 2002. http://deposit.d-nb.de/cgi-bin/dokserv?idn=969576749.

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Sprooten, Jonathan. "Finite element and electrical circuit modelling of faulty induction machines: Study of internal effects and fault detection techniques." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210674.

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This work is dedicated to faulty induction motors. These motors are often used in industrial applications thanks to their usability and their robustness. However, nowadays optimisation of production becomes so critical that the conceptual reliability of the motor is not sufficient anymore. Motor condition monitoring is expanding to serve maintenance planning and uptime maximisation. Moreover, the use of drive control sensors (namely stator current and voltage) can avoid the installation and maintenance of dedicated sensors for condition monitoring.

Many authors are working in this field but few approach the diagnosis from a detailed and clear physical understanding of the localised phenomena linked to the faults. Broken bars are known to modulate stator currents but it is shown in this work that it also changes machine saturation level in the neighbourhood of the bar. Furthermore, depending on the voltage level, this change in local saturation affects the amplitude and the phase of the modulation. This is of major importance as most diagnosis techniques use this feature to detect and quantify broken bars. For stator short-circuits, a high current is flowing in the short-circuited coil due to mutual coupling with the other windings and current spikes are flowing in the rotor bars as they pass in front of the short-circuited conductors. In the case of rotor eccentricities, the number of pole-pairs and the connection of these pole-pairs greatly affect the airgap flux density distribution as well as the repartition of the line currents in the different pole-pairs.

These conclusions are obtained through the use of time-stepping finite element models of the faulty motors. Moreover, circuit models of faulty machines are built based on the conclusions of previously explained fault analysis and on classical Park models. A common mathematical description is used which allows objective comparison of the models for representation of the machine behaviour and computing time.

The identifiability of the parameters of the models as well as methods for their identification are studied. Focus is set on the representation of the machine behaviour using these parameters more than the precise identification of the parameters. It is shown that some classical parameters can not be uniquely identified using only stator measurements.

Fault detection and identification using computationally cheap models are compared to advanced detection through motor stator current spectral analysis. This last approach allows faster detection and identification of the fault but leads to incorrect conclusions in low load conditions, in transient situations or in perturbed environments (i.e. fluctuating load torque and unideal supply). Efficient quantification of the fault can be obtained using detection techniques based on the comparison of the process to a model.

Finally, the work provides guidelines for motor supervision strategies depending on the context of motor utilisation.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

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Okoro, Ogbonnaya Inya [Verfasser]. "Dynamic and thermal modelling of induction machine with non-linear effects / Ogbonnaya Inya Okoro." Kassel : Kassel Univ. Press, 2002. http://d-nb.info/969576749/34.

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Cordier, Julien [Verfasser], Ralph [Akademischer Betreuer] Kennel, Ralph [Gutachter] Kennel, and Jean-Luc [Gutachter] Thomas. "Modelling space harmonics in induction machines for real-time applications / Julien Cordier ; Gutachter: Ralph Kennel, Jean-Luc Thomas ; Betreuer: Ralph Kennel." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1203799578/34.

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Jorks, Hai Van [Verfasser], Thomas [Akademischer Betreuer] Weiland, Kay [Akademischer Betreuer] Hameyer, Andreas [Akademischer Betreuer] Binder, Gerd [Akademischer Betreuer] Griepentrog, and Sebastian [Akademischer Betreuer] Schöps. "Transmission Line Modelling for Inverter-Fed Induction Machines / Hai Van Jorks. Betreuer: Thomas Weiland ; Kay Hameyer ; Andreas Binder ; Gerd Griepentrog ; Sebastian Schöps." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2015. http://d-nb.info/1110981155/34.

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Books on the topic "Modelling; induction machines; modelling"

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Moraitis, I. Modelling of governors for induction generators. Manchester: UMIST, 1995.

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Nestor, John P. Security modelling using hierarchical state machines. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Alberta. Scientific and Engineering Services and Research Division. Mathematical modelling of automedium cyclones. Edmonton, AB: Alberta Energy, Scientific and Engineering Services and Research Division, 1988.

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Berry, R. H. Rule induction for data modelling and model interpretation. Norwich: School of Information Systems, University of East Anglia, 1991.

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Hobson, J. B. Modelling for quality control in CNC machines. Hertford: University of Hertfordshire, Business School, 1992.

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Masmoudi, Ahmed. Control Oriented Modelling of AC Electric Machines. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9056-1.

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1954-, Lozano R., and Dzul Alejandro E, eds. Modelling and control of mini-flying machines. London: Springer, 2005.

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Mohamed, Abdulatif Abdusalam. Modelling and simulation of a cycloconverter induction motor drive. Leicester: De Montfort University, 1998.

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Nerg, Janne. Numerical modelling and design of static induction heating coils. Lappeenranta, Finland: Lappeenranta University of Technology, 2000.

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1956-, Belmans R., ed. Numerical modelling and design of electrical machines and devices. Southampton, UK: WIT Press, 1999.

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Book chapters on the topic "Modelling; induction machines; modelling"

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Boldea, Ion. "Thermal Modelling and Cooling." In Induction Machines Handbook, 339–60. Third edition. | Boca Raton: CRC Press, 2020. |: CRC Press, 2020. http://dx.doi.org/10.1201/9781003033417-12.

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Masmoudi, Ahmed. "Induction Machine Modelling." In SpringerBriefs in Electrical and Computer Engineering, 1–38. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9056-1_1.

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Vepa, Ranjan. "Modelling of Synchronous and Induction Machines." In Lecture Notes in Energy, 113–39. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5400-6_3.

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Melkebeek, Jan A. "Modelling and Dynamic Behaviour of Induction Machines." In Electrical Machines and Drives, 591–622. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72730-1_27.

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Andersen, Peter Bøgh, and Palle Nowack. "Modelling Moving Machines." In Virtual Applications, 189–211. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3746-7_9.

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Bermúdez, Alfredo. "Some Case Studies in Environmental and Industrial Mathematics." In SEMA SIMAI Springer Series, 19–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86236-7_2.

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AbstractThis presentation deals with four case studies in environmental and industrial mathematics developed by the mathematical engineering research group (mat+i) from the University of Santiago de Compostela and the Technological Institute for Industrial Mathematics (ITMATI). The first case involves environmental fluid mechanics: optimizing the location of submarine outfalls on the coast. This work, related to shallow water equations with variable depth, led us to develop a theory for numerical treatment of source terms in nonlinear first order hyperbolic balance laws. More recently, these techniques have been applied to solve Euler equations with source terms arising from numerical simulation of gas transportation networks when topography via gravity force is considered in the model. The last two problems concerns electromagnetism. One of them is related to nondestructive testing of car parts by using magnetic nanoparticles (the so-called magnetic particle inspection, MPI): mathematical modelling of magnetic hysteresis to simulate demagnetization. Finally, we present a mathematical procedure to reduce the computing time needed to achieve the stationary state of an induction electric machine when using transient numerical simulation.
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Mancini, Giuseppe. "Modelling Humans and Machines." In NATO ASI Series, 307–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-50329-0_19.

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O’Carroll, M. J., and P. C. Hudson. "Analysis of Vibration Compacting Machines." In Industrial Vibration Modelling, 197–205. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4480-0_14.

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Sharples, Mike, and Rafael Pérez y Pérez. "Modelling the mind of a writer." In Story Machines, 115–25. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003161431-9.

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Milano, Federico. "Alternate-Current Machines." In Power System Modelling and Scripting, 325–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13669-6_15.

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Conference papers on the topic "Modelling; induction machines; modelling"

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Rodger, D. "Modelling axial airgap induction machines." In IEE Seminar Axial Airgap Machines. IEE, 2001. http://dx.doi.org/10.1049/ic:20010089.

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Maliti, K. C. "Modelling magnetic noise in induction machines." In Eighth International Conference on Electrical Machines and Drives. IEE, 1997. http://dx.doi.org/10.1049/cp:19971108.

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null. "Small induction machines - the designer's choice." In IEE Colloquium on Modelling the Performance of Electrical Machines. IEE, 1997. http://dx.doi.org/10.1049/ic:19970899.

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Li Yao, Keith J. Bradley, Phillip Sewell, and David Gerada. "Cascaded doubly fed induction machine system modelling based on Dynamic Reluctance Mesh modelling method." In 2008 International Conference on Electrical Machines (ICEM). IEEE, 2008. http://dx.doi.org/10.1109/icelmach.2008.4799896.

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Strous, T. D., N. H. van der Blij, H. Polinder, and J. A. Ferreira. "Brushless Doubly-Fed Induction Machines: Magnetic field modelling." In 2014 XXI International Conference on Electrical Machines (ICEM). IEEE, 2014. http://dx.doi.org/10.1109/icelmach.2014.6960570.

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Cusido, J., L. Romeral, M. Delgado, A. Garcia, and J. A. Ortega. "Induction machines fault simulation based on FEM modelling." In 2007 European Conference on Power Electronics and Applications. IEEE, 2007. http://dx.doi.org/10.1109/epe.2007.4417511.

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Velazquez, R., and A. C. Smith. "Electromagnetic modelling of high speed induction motors." In 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016). Institution of Engineering and Technology, 2016. http://dx.doi.org/10.1049/cp.2016.0126.

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Marfoli, A., L. Papini, P. Bolognesi, D. Genovese, and C. Gerada. "Analysis of induction machine: Comparison of modelling techniques." In 2017 IEEE International Electric Machines and Drives Conference (IEMDC). IEEE, 2017. http://dx.doi.org/10.1109/iemdc.2017.8002400.

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Nabiyev, Fuad M. "Mathematical modelling of electromagnetic forces in Linear Induction Motors." In 2008 International Conference on Electrical Machines (ICEM). IEEE, 2008. http://dx.doi.org/10.1109/icelmach.2008.4800009.

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Issaouni, Salim, Abdesselem Boulkroune, and Hachemi Chekireb. "Adaptive intelligent backstepping controller of induction machines." In 2016 8th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2016. http://dx.doi.org/10.1109/icmic.2016.7804198.

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Reports on the topic "Modelling; induction machines; modelling"

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Savosko, V., I. Komarova, Yu Lykholat, E. Yevtushenko, and T. Lykholat. Predictive model of heavy metals inputs to soil at Kryvyi Rih District and its use in the training for specialists in the field of Biology. IOP Publishing, 2021. http://dx.doi.org/10.31812/123456789/4511.

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The importance of our research is due to the need to introduce into modern biological education methods of predictive modeling which are based on relevant factual material. Such an actual material may be the entry of natural and anthropic heavy metals into the soil at industrial areas. The object of this work: (i) to work out a predictive model of the total heavy metals inputs to soil at the Kryvyi Rih ore-mining & metallurgical District and (ii) to identify ways to use this model in biological education. Our study areas are located in the Kryvyi Rih District (Dnipropetrovsk region, Central Ukraine). In this work, classical scientific methods (such as analysis and synthesis, induction and deduction, analogy and formalization, abstraction and concretization, classification and modelling) were used. By summary the own research results and available scientific publications, the heavy metals total inputs to soils at Kryvyi Rih District was predicted. It is suggested that the current heavy metals content in soils of this region due to 1) natural and 2) anthropogenic flows, which are segmented into global and local levels. Predictive calculations show that heavy metals inputs to the soil of this region have the following values (mg ⋅ m2/year): Fe – 800-80 000, Mn – 125-520, Zn – 75-360, Ni – 20-30, Cu – 15-50, Pb – 7.5-120, Cd – 0.30-0.70. It is established that anthropogenic flows predominate in Fe and Pb inputs (60-99 %), natural flows predominate in Ni and Cd inputs (55-95 %). While, for Mn, Zn, and Cu inputs the alternate dominance of natural and anthropogenic flows are characterized. It is shown that the predictive model development for heavy metals inputs to soils of the industrial region can be used for efficient biological education (for example in bachelors of biologists training, discipline "Computer modelling in biology").
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Савосько, Василь Миколайович, Ірина Олександрівна Комарова, Юрій Васильович Лихолат, Едуард Олексійович Євтушенко,, and Тетяна Юріївна Лихолат. Predictive Model of Heavy Metals Inputs to Soil at Kryvyi Rih District and its Use in the Training for Specialists in the Field of Biology. IOP Publishing, 2021. http://dx.doi.org/10.31812/123456789/4266.

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The importance of our research is due to the need to introduce into modern biological education methods of predictive modeling which are based on relevant factual material. Such an actual material may be the entry of natural and anthropic heavy metals into the soil at industrial areas. The object of this work: (i) to work out a predictive model of the total heavy metals inputs to soil at the Kryvyi Rih ore-mining & metallurgical District and (ii) to identify ways to use this model in biological education. Our study areas are located in the Kryvyi Rih District (Dnipropetrovsk region, Central Ukraine). In this work, classical scientific methods (such as analysis and synthesis, induction and deduction, analogy and formalization, abstraction and concretization, classification and modelling) were used. By summary the own research results and available scientific publications, the heavy metals total inputs to soils at Kryvyi Rih District was predicted. It is suggested that the current heavy metals content in soils of this region due to 1) natural and 2) anthropogenic flows, which are segmented into global and local levels. Predictive calculations show that heavy metals inputs to the soil of this region have the following values ( mg ∙ m ଶ year ⁄ ): Fe – 800-80 000, Mn – 125-520, Zn – 75-360, Ni – 20-30, Cu – 15-50, Pb – 7.5-120, Cd – 0.30-0.70. It is established that anthropogenic flows predominate in Fe and Pb inputs (60-99 %), natural flows predominate in Ni and Cd inputs (55-95 %). While, for Mn, Zn, and Cu inputs the alternate dominance of natural and anthropogenic flows are characterized. It is shown that the predictive model development for heavy metals inputs to soils of the industrial region can be used for efficient biological education (for example in bachelors of biologists training, discipline “Computer modelling in biology”).
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