electrical machine 2020
The electric machines are of three main types, transformer, generator, and motor. Electrical Transformer: In the transformer, both input and output are electrical
An electrical machine is a device which converts mechanical energy into electrical energy or vice versa. Electrical machines also include transformers, which do not actually make conversion between mechanical and electrical form but they convert AC current from one voltage level to another voltage level.
What was the first electric machine?
The first commutator DC electric motor capable of turning machinery was invented by British scientist William Sturgeon in 1832. Following Sturgeon’s work, a commutator-type direct-current electric motor was built by American inventor Thomas Davenport, which he patented in 1837
A Review of Electrical Machine Topologies and the Techniques to Reduce Cogging Torque
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This review paper provides a brief discussion into modulated pole machines and topologies such as single sided, double sided and multiphase modulated pole machines, ultimately leading towards material hybrid designs as these are of interest these days. It was shown
Rotating electrical machine
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Design of Electrical MachineDesign of Electrical Machine (TE ELECT)
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Stationary part called the stator Rotating part called the rotor The stator and the rotor are each made up of An electric circuit, usually made of insulated copper or aluminium winding, to carry current A magnetic circuit, usually made from laminated silicon steel, to carry
Design and Analysis of Rotating Stator in Electrical Machine System
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This paper presents a study on effect of rotating stator in electrical machine system. The designed generator is different from the conventional one, in which in conventional system, only rotor is rotating and the stator is fixed. In this study, both rotor and stator are allowed to This book deals with analysis and mathematical models of an electrical machine especially a canned machine as a hydraulic pump drive. The characteristic use of metallic can shields in air gap makes the electromagnetic and thermal features substantially different. The can
Recyclable Electrical Machine Designs with 3D Flux and Non-Traditional Materials
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In general, a nut-runner system is composed by an electrical motor fed by a converter via a filter . New emerging technologies like Silicon Carbide (SiC) transistors, allow a higher switching frequency and in consequence a possible reduction of the size of both inverter
Hans; Kallaste, Ants; Vaimann, Toomas; Rassõlkin, Anton; Belahcen, Anouar Electrical resistivity of additively manufactured silicon steel for electrical machine
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Additive manufacturing, commonly labeled as 3D printing is an essential component of the next industrial revolution, enabling both unprecedented fabrication freedom and streamlined production and logistics. Traditionally, the electrical machine cores are stacked from
Noise Optimized Control of an Electrical Drive with Induction Machine
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With the beginning of the age of electromobility, the automotive manufacturers and their suppliers face new challenges. Customers think differently and demand new mobility solutions. This changes previous requirements for the construction of automobiles. The
Methodic of calculation of fully HTS silent-pole electrical machine
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In this paper, a fully HTS salient-pole electrical machine with a ferromagnetic core is considered. Analytical expressions for main parameters of the machine are obtained based on the solution of the Puassons equation for vector magnetic potential. Obtained solution
Electrical impedance tomography, enclosure method and machine learning
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Electrical impedance tomography (EIT) is a non-destructive imaging method, where a physical body is probed with electric measurements at the boundary, and information about the internal conductivity is extracted from the data. The enclosure method of Ikehata [J. Inv. IllElectrical power disturbances have negative social, economic, and political impacts. They can lead to catastrophic results that end with blackouts. Increased understanding, analysis, and prediction of electrical disturbances can help to avoid the occurrence of majorFault diagnosis of induction motors (IMs) is always a challenging task in the practical industrial field, and it is even more challenging in the case of inadequate information of IM working conditions. In this paper, a new methodology for fault detection has been proposed The research is aimed at increasing the quality of a concast billet macrostructure by limiting static and dynamic longitudinal forces created in billets by electrical drives of withdrawal rolls during wear and bending of the withdrawal roll body and random and periodic slips of
Electrical Load Forecasting Using Machine Learning
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Variable electrical load and ever-increasing load demand need to be predicted or forecasted to avoid the energy crisis. In this paper, machine learning based ANN is explored for short term load forecasting (STLF) with 24 hours duration. The live load data from a
Simulation of Electrical Discharge Machine (EDM) Process Pulse Generator Profile
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Micro Electrical Discharge Machine (EDM) process efficiency is relatively related to the pulse generator, which is the process input. The paper focused on studying the performance of the pulse generator profile of EDM process by carrying out computer simulation in
Machine learning algorithms for the detection of non-technical losses in electrical distribution networks
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Non-technical losses (NTL) represent a serious concern for electricity utilities as they are responsible for significant revenue losses as well as affecting the power grid reliability. These losses are defined as the energy consumption (EC) of the clients that has not been
Machine Learning Prediction of Power Demand for Electrical Vehicle Charging Stations in Norway
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With the growing popularity of electrical vehicles (EVs), many problems concerning the charging infrastructure have appeared. Developing strategies to manage this problem efficiently is essential for the charging infrastructure. One problem is the queuing times at EV
A Step Towards Introducing Data Analytics and Visualization for Students of Electrical Sciences: An Initiative Through Machine Learning Course
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In this paper, we share our experience of introducing data analytics and visualization for students of electrical sciences through Machine Learning course. Typically, electrical science students face challenges in handling and visualizing huge data and its analysis as
Design and Analysis of Rotating Stator in Electrical Machine System
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This paper presents a study on effect of rotating stator in electrical machine system. The designed generator is different from the conventional one, in which in conventional system, only rotor is rotating and the stator is fixed. In this study, both rotor and stator are allowed to This book deals with analysis and mathematical models of an electrical machine especially a canned machine as a hydraulic pump drive. The characteristic use of metallic can shields in air gap makes the electromagnetic and thermal features substantially different. The can
Recyclable Electrical Machine Designs with 3D Flux and Non-Traditional Materials
free download
In general, a nut-runner system is composed by an electrical motor fed by a converter via a filter . New emerging technologies like Silicon Carbide (SiC) transistors, allow a higher switching frequency and in consequence a possible reduction of the size of both inverter
Noise Optimized Control of an Electrical Drive with Induction Machine
free download
With the beginning of the age of electromobility, the automotive manufacturers and their suppliers face new challenges. Customers think differently and demand new mobility solutions. This changes previous requirements for the construction of automobiles. TheThe Vernier permanent magnet machine is a high-torque, low-speed system suitable for direct-drive applications such as in-wheel electrical machines and wind generation turbines. In this paper, specific critical parameters of the electrical machine for auxiliary tooth and slot
Methodic of calculation of fully HTS silent-pole electrical machine
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In this paper, a fully HTS salient-pole electrical machine with a ferromagnetic core is considered. Analytical expressions for main parameters of the machine are obtained based on the solution of the Puassons equation for vector magnetic potential. Obtained solution
Design and analysis a control system using soft computing methods for electrical machines
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Bimal K. Bose (1997) stated that, Fuzzy Logic Based Intelligent Control of a Variable Speed Cage Machine Wind Generation System, work performed by the University of Tennessee on speed wind turbine electrical generation system by using fuzzy logic principles. The project
Modelling and control of an innovative electrical drive for electrical vehicles
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it. It needs specific conditions to be actuated which are monitored through electrical machine parameters. This environment. This electric traction is composed by typical elements as storage system, converter and electrical machine . The
FEM Modeling of Shear Cutting of Electrical Steel Sheets under Various Technological Conditions
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Abstract:Almost all electrical machine consists of the stator and rotor cores, which are made of stacked non-oriented electric steel sheets The efficiency and performance of an electrical machine depend on the magnetic properties of its magnetic core
Electrical impedance tomography, enclosure method and machine learning
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Electrical impedance tomography (EIT) is a non-destructive imaging method, where a physical body is probed with electric measurements at the boundary, and information about the internal conductivity is extracted from the data. The enclosure method of Ikehata [J. Inv. IllElectrical power disturbances have negative social, economic, and political impacts. They can lead to catastrophic results that end with blackouts. Increased understanding, analysis, and prediction of electrical disturbances can help to avoid the occurrence of majorFault diagnosis of induction motors (IMs) is always a challenging task in the practical industrial field, and it is even more challenging in the case of inadequate information of IM working conditions. In this paper, a new methodology for fault detection has been proposed
PID controller tuning using ant colony optimization for induction motor
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their applications. Especially, this approach is used in the electrical machine field for the resolution of proportional integral derivative (PID) controller. In this work we developed the problem of design the PID controller. This latter
Electrical Load Forecasting Using Machine Learning
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Variable electrical load and ever-increasing load demand need to be predicted or forecasted to avoid the energy crisis. In this paper, machine learning based ANN is explored for short term load forecasting (STLF) with 24 hours duration. The live load data from a
The analysis of own signals of PM electrical machines example of eccentricity
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Keywords Electrical vehicle, permanent magnet, traction drive, vibrations, electrical machine eccentricity, diagnostics, data acquisition, data analysis The high level of vibration in electrical machine is undesirable phenomenon and it is considered a failure
European Journal of Electrical Engineering
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fractional order controllers. Direct torque control (DTC) is one of the most control strategies, that used in electrical machine drive for different types and investigated in many literatures [11-14]. Unfortunately, this approach hasThis paper presents the optimal design and performance analysis of a novel synchronous reluctance motor with outer rotor for determination of the effect of the rotor pole shape on the machines performances. The investigation has been made in order to find the possible
Electromagnetic and thermal design/analysis of an induction motor for electric vehicles
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Abstract The most commonly used electrical machine is the induction machine since it is durable, easy to manufacture and control. Additionally 10]. In industry, the cost of an electrical machine has generally great importance
A Step Towards Introducing Data Analytics and Visualization for Students of Electrical Sciences: An Initiative Through Machine Learning Course
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In this paper, we share our experience of introducing data analytics and visualization for students of electrical sciences through Machine Learning course. Typically, electrical science students face challenges in handling and visualizing huge data and its analysis as