Journal articles: 'Multi-phase machine'

1

Mohanty, Alok Kumar, and K. B. Yadav. "Transient Analysis of a Multi-phase Induction Machine Operating as Generator." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 1 (April 1, 2016): 79. http://dx.doi.org/10.11591/ijeecs.v2.i1.pp79-87.

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Multi-phase machines are considered serious contenders as compared to the three phase machines for variable applications in generating mode. This paper presents the transient performance analysis of a multi-phase induction machine operating in six-phase mode for power generation. In this paper the simulation and experimental analysis of a six-phase machine in generating mode have been made. The simulations are made and the machine functionality was investigated during no-load and when subjected to different types of loads. Experimental results are provided to confirm the ability of these models to represent during no load as well as during load period and the result were found to be satisfactory for power generation.

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NEZLI, Lazhari, and Omar Zouaid. "Sliding mode control of a Five-Phase Series- Connected Two-Motor Drive." Algerian Journal of Signals and Systems 1, no. 1 (February 2, 2021): 59–68. http://dx.doi.org/10.51485/ajss.v1i1.19.

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In this work, we study vector control and sliding mode control of series-connected five-phase two asynchronous machines supplied with a three levels inverter. After presentation of multiphase machines, we worked out the mathematical model of five phase asynchronous machine supplied with voltage inverter. Application of Park transformation reduces considerably the mathematical model of machine. After, we applied vector control and sliding mode control to the five-phase induction machine. After that, we study a multi-machine system which comport five-phase two asynchronous machines supplied with a single voltage inverter. In the last, we had the independent vector control and the sliding mode control of series-connected five-phase two asynchronous machines. We observe that an appropriate transposition of phase’s order permits an independent control of two machines.

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Zouaid, Omar, and Lazhari Nezli. "Control with Sliding Mode of a Five-Phase Series-Connected Two-asynchronous Motor Drive." International Journal of Energetica 3, no. 1 (June 30, 2018): 18. http://dx.doi.org/10.47238/ijeca.v3i1.61.

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In this paper, we study sliding mode control of series-connected five-phase two asynchronous machines supplied with a three levels inverter. After presentation of multiphase machines, we worked out the mathematical model of five phase asynchronous machine supplied with voltage inverter. Application of Park transformation reduces considerably the mathematical model of machine. After, we applied vector control and sliding mode control to the five-phase induction machine. After that, we study a multi-machine system, which comport five-phase two asynchronous machines supplied with a single voltage inverter.In the last, we had the sliding mode control of series-connected five-phase two asynchronous machines. Simulations are presented to show the effectiveness of the control strategy. We observe that an appropriate transposition of phase’s order permits an independent control of two machines.

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Singh, G. K., V. Pant, and Y. P. Singh. "Stability analysis of a multi-phase (six-phase) induction machine." Computers & Electrical Engineering 29, no. 7 (October 2003): 727–56. http://dx.doi.org/10.1016/s0045-7906(03)00003-x.

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Singh, G. K., V. Pant, and Y. P. Singh. "Voltage source inverter driven multi-phase induction machine." Computers & Electrical Engineering 29, no. 8 (November 2003): 813–34. http://dx.doi.org/10.1016/s0045-7906(03)00036-3.

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Singh, G. K. "Multi-phase induction machine drive research—a survey." Electric Power Systems Research 61, no. 2 (March 2002): 139–47. http://dx.doi.org/10.1016/s0378-7796(02)00007-x.

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Chubraeva, L. I., and S. S. Timofeyev. "Conversion of DC Armature Winding into Multi-Phase AC Winding." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012147. http://dx.doi.org/10.1088/1742-6596/2096/1/012147.

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Abstract The paper is dedicated to the principles of transformation of a rotating armature of DC machine into a rotating AC armature of a reverse-type AC alternator, which represents finally the major part of a model brushless exciter. The methodology of this conversion is based on main principles of the theory of electrical machines [1, 2].

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Gupta, Manish, Ihtiram Raza Khan, B. Gomathy, and Ansuman Samal. "Hybrid Multi-User Based Cloud Data Security for Medical Decision Learning Patterns." ECS Transactions 107, no. 1 (April 24, 2022): 2559–73. http://dx.doi.org/10.1149/10701.2559ecst.

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Machine learning plays a vital role in the real-time cloud based medical computing systems. However, most of the computing servers are independent of data security and recovery scheme in multiple virtual machines due to high computing cost and time. Also these cloud based medical applications require static security parameters for cloud data security. Cloud based medical applications require multiple servers in order to store medical records or machine learning patterns for decision making. Due to high computational memory and time, these cloud systems require an efficient data security framework in order to provide strong data access control among the multiple users. In this paper, a hybrid cloud data security framework is developed to improve the data security on the large machine learning patterns in real-time cloud computing environment. This work is implemented in two phases, data replication phase and multi-user data access security phase. Initially, machine decision patterns are replicated among the multiple servers for data recovering phase. In the multi-access cloud data security framework, a hybrid multi-access key based data encryption and decryption model is implemented on the large machine learning medical patterns for data recovery and security process. Experimental results proved that the present two-phase data recovering and security framework has better computational efficiency than the conventional approaches on large medical decision patterns.

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Omeje, Crescent Onyebuchi, Damian Benneth Nnadi, and Stephen Ejiofor Oti. "Multi-phase inverter-controlled induction machine at varied rotor parameters." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (October 1, 2022): 4808. http://dx.doi.org/10.11591/ijece.v12i5.pp4808-4819.

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This paper presents a step-wise modelling of a symmetrical six-phase induction machine driven by a six-phase diode clamped multi-level inverter at a varying rotor resistance and motor inertia. The machine drive process was considered in two stages. The first stage presents the dynamic behavior of the machine when a load torque of 0 Nm and 100 Nm is applied at a varied rotor external resistance value of (0.8 and 3.2) Ω with constant motor inertia. The second stage showcased the variations in the speed, electromagnetic torque and rotor current when motor inertia is varied at (0.5 and 1.5) Kg-m2 with rotor resistance held constant. A six-phase five-level diode clamped converter phase displaced by sixty degrees with a modulation index of 0.8 was modeled to drive the poly-phase machine at a reduced %THD. All machine models were simulated in MATLAB 7.11. The simulation results showed that reduced oscillations in rotor current, motor speed and torque pulsations were achieved at a varied external rotor resistance and motor inertia.

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CHARRAK, Naas, Abdallah KOUZOU, Belgacem Said KHAlDI, and Lazhri NEZLI. "Analysis of Multi-Phase qZ-Source Inverter with Maximum Constant Boost Control Technique." Electrotehnica, Electronica, Automatica 69, no. 1 (February 15, 2021): 37–43. http://dx.doi.org/10.46904/eea.21.69.1.1108005.

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This paper proposes a topology of two-level qZ- source multiphase inverter based on maximum constant boost control algorithm which can be used to power multiphase machines. Indeed, these kinds of machines have many advantages compared to their counterpart three-phase machines, which are actually used extensively in many industries. On the other side, the qZ-source inverter has also many advantages compared to the conventional inverters, mainly high boosting capability, more freedom degrees of switching states and less voltage and current stresses of switches can be obtained. Such advantages among others make it to be a good candidate in many industrial applications. Thus, the present paper proposes the topology of two level five-phase qZ-source inverter, where the main aim is to be used for driving the five-phase machine and consequently benefiting from the merits of the advantages of both topologies of the machine and the inverter in building one combined topology. The simulations results obtained in this paper prove the quality of the improved performances of the proposed topology in comparison with previous works which can be a promising solution in many industrial applications based on the afore mentioned advantages.

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11

Akay, Ali, and Paul Lefley. "Open-Circuit Fault-Tolerant Control of Multi-Phase PM Machines by Compensating the d-q Axes Currents." Energies 14, no. 1 (January 1, 2021): 192. http://dx.doi.org/10.3390/en14010192.

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This paper presents a novel method to control sinusoidal distributed winding or sinusoidal back electromotive force (back-EMF) multi-phase permanent magnet (PM) machines under open-circuit fault conditions. In this study, five different fault conditions are considered: single-phase, adjacent double-phase, non-adjacent double-phase, adjacent three-phase, and non-adjacent three-phase open circuit conditions. New current sets for the remaining healthy phase under open-circuit fault conditions are obtained by compensating the direct-quadrature (d-q) axes currents. For this purpose, an iterative method has been used to get the new set of currents. D-q axes currents, due to faulty phase/phases, are shared to the healthy phases to obtain the same d-q axes currents as in the healthy condition. Therefore, the same torque is produced as in the healthy condition. The developed method is simulated in MATLAB/Simulink by using a d-q modelled sinusoidal back-EMF five-phase machine. A vector control block diagram has been designed to run the machine under healthy and faulty conditions. The machine model has been run successfully under fault tolerant conditions. Additionally, a finite element analysis (FEA) has been undertaken to simulate the five-phase PM model machine by using MagNet software. Open-circuit fault-tolerant control currents are fed into the coils of the machine model. Satisfactory torque results have been obtained. Because the model five-phase PM machine includes higher order back-EMF harmonics, especially the third harmonic, torque has ripple due to interaction between the fault-tolerant control currents and the higher order back-EMF harmonics.

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12

Zheng, Ping, Yi Sui, Peng Fei Wang, Fan Wu, and Shu Qing Zhang. "Optimal Design of a Five-Phase Outer-Rotor Permanent-Magnet Synchronous Machine." Applied Mechanics and Materials 416-417 (September 2013): 127–32. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.127.

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With the increasing requirements for driving comfort and reliability of electric vehicles, the multi-phase fault-tolerant permanent-magnet synchronous machines (PMSMs) have drawn more and more attention. A 40-slot/42-pole five-phase outer-rotor PMSM is investigated. The electromagnetic structure is designed, and the winding configurations, pole-arc coefficient, magnetization direction, and the structure of slot notch are optimized to obtain better machine performance.

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Gutierrez-Reina, Daniel, Federico Barrero, Jose Riveros, Ignacio Gonzalez-Prieto, Sergio Toral, and Mario Duran. "Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines." Energies 12, no. 2 (January 19, 2019): 314. http://dx.doi.org/10.3390/en12020314.

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Multiphase machines are complex multi-variable electro-mechanical systems that are receiving special attention from industry due to their better fault tolerance and power-per-phase splitting characteristics compared with conventional three-phase machines. Their utility and interest are restricted to the definition of high-performance controllers, which strongly depends on the knowledge of the electrical parameters used in the multiphase machine model. This work presents the proof-of-concept of a new method based on particle swarm optimization and standstill time-domain tests. This proposed method is tested to estimate the electrical parameters of a five-phase induction machine. A reduction of the estimation error higher than 2.5% is obtained compared with gradient-based approaches.

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14

Hajary, Ali, Seyed Ghodratollah Seifossadat, Reza Kianinezhad, Alireza Saffarian, and Seyed Saeedollah Mortazavi. "An adaptive PI control design for multi-phase machines in healthy and faulty operations." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 6 (October 24, 2019): 1986–2000. http://dx.doi.org/10.1108/compel-12-2018-0552.

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Purpose This paper aims to present a novel robust control method based on an adaptive PI controller (APIC) to compensate for different disturbances and unknown dynamics for multi-phase induction machines. Design/methodology/approach The gains of the APIC are adapted online according to the tracking error. Proposed APIC is accompanied with designed linear disturbance observer (LDO) to present robust behavior to machine parameter variations and fault disturbances. Findings The results show remarkable dynamic performance in both healthy and faulty conditions when the six-phase induction machine works under APIC and LDO schemes. Originality/value The proposed controller need not readjust current controllers for the post-fault condition. The developed Simulink model efficiency is confirmed through experimental tests.

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15

Furtat, Igor, Pavel Gushchin, Evgeny Tupichin, and Alexey Peregudin. "Control study of multi-machine power systems under variations of mechanical input power and communication delay." Cybernetics and Physics, Volume 8, 2019, Number 4 (December 30, 2019): 235–43. http://dx.doi.org/10.35470/2226-4116-2019-8-4-235-243.

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The paper studies the robust control for multi-machine power systems under parametric uncertainties, perturbed mechanical input power and unknown variable communication time-delay. Only relative speed of each electrical generator is available for measurement. The theoretical investigations show that the proposed algorithm synchronizes the multi-machine power system with the required accuracy in the normal mode and under symmetrical 3-phase short circuit faults which occur on ransmission lines. Numerical investigations illustrate the efficiency of the proposed scheme for the three machines and the New England Power system benchmark.

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16

Mohanty, Alok Kumar, and K. B. Yadav. "Performance Characteristics of Six-Phase Induction Generator for Renewable Power Generation." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 2 (February 1, 2017): 299. http://dx.doi.org/10.11591/ijeecs.v5.i2.pp299-308.

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This paper presents the performance behavior of a multi-phase induction generator operating in six-phase mode. An experimental analysis has been done to determine operating characteristics of the six-phase machine to illustrate the advantageous features of the machine as compared to its three phase counterpart. The machine is configured to operate as a standalone power source in conjunction with a DC prime mover. The multi-phase machine can operate with one three phase capacitor bank which does not lead to complete shutdown of the system during fault conditions across one of its two sets of its stator windings. In the analysis the machine is connected to different capacitor configuration and the influence of these connections on the machine performance during no load and load have been implemented. Experimental results include voltage build up of the machine with different excitation capacitors at both sets of stator windings with changing speed during no load condition, resistive load condition and resistive inductive load condition with simple shunt and short shunt configuration.

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17

Islam, Nusrat, Wenjiang Huang, and Houlong L. Zhuang. "Machine learning for phase selection in multi-principal element alloys." Computational Materials Science 150 (July 2018): 230–35. http://dx.doi.org/10.1016/j.commatsci.2018.04.003.

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Kuo, Jian-Long, Zen-Shan Chang, and Jiann-Der Lee. "Novel Design of Multi-sectional Two-phase Linear Brushless Machine." Electrical Engineering 89, no. 6 (May 20, 2006): 479–87. http://dx.doi.org/10.1007/s00202-006-0025-3.

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19

Shimada, Takumi, and Haruhiko Suwa. "Optimization of Cutting Tool Allocation to Enhance Workload Balance and Total Completion Time in Parallel-Type FMS." International Journal of Automation Technology 15, no. 6 (November 5, 2021): 804–12. http://dx.doi.org/10.20965/ijat.2021.p0804.

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This study aims to build a machine scheduling method that involves the cutting tool management in parallel-type flexible manufacturing systems. These systems consist of multi-axis CNC machine tools and are equipped with an automated tool changer and a large-capacity tool magazine. The target scheduling problem could be described as a multi-objective parallel scheduling problem. We consider the availability of cutting tools stored in the magazine as so-called “machine eligibility,” and propose a two-phase scheduling method for tool allocation and job sequencing on machines to minimize the workload balance between machines and the total completion time. Two mathematical models for tool allocation are provided: a machine-eligibility-based model and an enhanced version of the model that considers each cutting tool. A series of computational experiments demonstrates the effectiveness of the proposed method. We also clarify the relationship between schedule performance measures and job routing flexibility in the system.

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Behnamian, J., M. Zandieh, and S. M. T. Fatemi Ghomi. "A multi-phase covering Pareto-optimal front method to multi-objective parallel machine scheduling." International Journal of Production Research 48, no. 17 (July 13, 2009): 4949–76. http://dx.doi.org/10.1080/00207540902998349.

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Alaeddini, A., H. Tahanian, and A. Darabi. "Impact of Number of Phases on Electromagnetic Torque Characteristics of Transverse Flux Permanent Magnet Machines." Advanced Electromagnetics 8, no. 4 (December 17, 2019): 118–29. http://dx.doi.org/10.7716/aem.v8i4.1235.

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This paper presents an investigation on the influences of number of phases of Transverse Flux Permanent Magnet (TFPM) machines on the characteristics of developed electromagnetic torque. Electromagnetic torque is expressed in terms of the Fourier series of phase currents and internal voltages. After some algebraic and trigonometric calculations, a general equation is obtained that establishes a relationship between the electromagnetic torque ripples, number of phases and harmonic contents of both internal voltages and phase currents. This result is significant when it is required to design a few specific number of identical single-phase TFPM machines which finally they will be assembled such that to build a multi-phase machine with a minimum torque ripple. The design parameters of a case study Claw Pole TFPM machine are introduced with some details and a few FE based simulation results are given as the validations of the analytical approach of the present paper. The simulation results show clearly the impact of each harmonic of the internal voltages and phase currents on the torque ripple for various numbers of phases leading the designer to find out which number of single-phase machine combinations is the optimum one regarding the torque ripple.

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Gong, Jinlin, Benteng Zhao, Youxi Huang, Eric Semail, and Ngac Ky Nguyen. "Quantitative Comparisons of Outer-Rotor Permanent Magnet Machines of Different Structures/Phases for In-Wheel Electrical Vehicle Application." Energies 15, no. 18 (September 13, 2022): 6688. http://dx.doi.org/10.3390/en15186688.

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As one of the key components, low-speed direct-drive in-wheel machines with high compact volume and high torque density are important for the traction system of electric vehicles (EVs). This paper introduces four different types of outer-rotor permanent magnet motors for EVs, including one five-phase SPM machine, one three-phase IPM machine with V-shaped PMs, one seven-phase axial flux machine (AFM) of sandwich structure and finally one hybrid flux (radial and axial) machine with a third rotor with V-shaped PMs added to the AFM. Firstly, the design criteria and basic operation principle are compared and discussed. Then, the key properties are analyzed using the Finite Element Method (FEM). The electromagnetic properties of the four fractional slot tooth concentrated winding in-wheel motors with similar dimensions are quantitatively compared, including air-gap flux density, electromotive force, field weakening capability, torque density, losses, and fault tolerant capability. The results show that the multi-phase motors have high torque density and high fault tolerance and are suitable for direct drive applications in EVs.

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Lee, Hyunsang, and Sehwan Oh. "Multi-phase Prediction Models for Crowdfunding Success: A Machine Learning Approach." Journal of Internet Electronic Commerce Resarch 19, no. 3 (June 30, 2019): 129–47. http://dx.doi.org/10.37272/jiecr.2019.06.19.3.129.

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Kindl, Vladimir, Radek Cermak, Zelmira Ferkova, and Bohumil Skala. "Review of Time and Space Harmonics in Multi-Phase Induction Machine." Energies 13, no. 2 (January 19, 2020): 496. http://dx.doi.org/10.3390/en13020496.

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Modern multiphase electric machines take advantage of additional degrees of freedom for various purposes, including harmonic current injection to increase torque per ampere. This new approach introduces a non-sinusoidal air gap flux density distribution causing additional technical problems and so the conventional assumptions need to be revised. The paper presents a methodology for synthesis of air gap magnetic field generated by a symmetrically distributed multiphase windings including the rotor field reaction due to the machine’s load. The proposed method is suitable either for single-layer or double layer windings and can be adopted either for full-pitched or chorded winding including slots effects. The article analyses the air gap flux density harmonic content and formulates conclusions important to multiphase induction motors. It also discusses effects of time harmonic currents and illustrates the principle of changing number of pole-pairs typical for harmonic currents being injected to increase torque.

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Rushd, Sayeed, Uneb Gazder, Hisham Jahangir Qureshi, and Md Arifuzzaman. "Advanced Machine Learning Applications to Viscous Oil-Water Multi-Phase Flow." Applied Sciences 12, no. 10 (May 11, 2022): 4871. http://dx.doi.org/10.3390/app12104871.

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The importance of heavy oil in the world oil market has increased over the past twenty years as light oil reserves have declined steadily. The high viscosity of this kind of unconventional oil results in high energy consumption for its transportation, which significantly increases production costs. A cost-effective solution for the long-distance transport of viscous crudes could be water-lubricated flow technology. A water ring separates the viscous oil-core from the pipe wall in such a pipeline. The main challenge in using this kind of lubricated system is the need for a model that can provide reliable predictions of friction losses. An artificial neural network (ANN) was used in this study to model pressure losses based on 225 data sets from independent sources. The seven input variables used in the current ANN model are pipe diameter, average velocity, oil density, oil viscosity, water density, water viscosity, and water content. The ANN developed using the backpropagation technique with seven processing neurons or nodes in the hidden layer demonstrated to be the optimal architecture. A comparison of ANN with other artificial intelligence and parametric techniques shows the promising precision of the current model. After the model was validated, a sensitivity analysis determined the relative order of significance of the input parameters. Some of the input parameters had linear effects, while other parameters had polynomial effects of varying degrees on the friction losses.

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KHADIM, MOIN SIDDIQUI, and S. CHATTERJI. "DEMAGNETIZATION DIAGNOSIS IN MULTI-PHASE PMSM MACHINE BY ADVANCED MCSA TECHNIQUE." i-manager’s Journal on Electrical Engineering 12, no. 4 (2019): 37. http://dx.doi.org/10.26634/jee.12.4.15758.

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Huang, Chen, Lidan Zhou, Zujia Cao, and Gang Yao. "Fault-Tolerant Control Strategy with Asymmetric Phase Currents for Single to Four-Phase Open-Circuit Faults of Six-Phase PMSM." Energies 14, no. 11 (May 28, 2021): 3163. http://dx.doi.org/10.3390/en14113163.

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Multi-phase motors and generators are regarded with great fault tolerance capability, especially on open-circuit faults. Various mathematics analytical methods are applied for their fault control. In this paper, a fault-tolerant control strategy with asymmetric phase current for the open-circuit faults with arbitrary phases in the six-phase PMSM (six-phase permanent magnetic synchronous motor, 6P-PMSM) system, is proposed for better electrical and dynamical performance of the machine. An innovative mathematical model for PMSM under one to four-phase-open circuit faults are established considering the asymmetry of the machine. Combining with time-varying relations in machines’ working conditions, targeted decoupling transformation matrixes of every kind of open-circuit faults are settled by voltage equations under different faults. Modified control strategy with a connection between the neutral point and the inverter’s DC side is presented, which aims at increasing the system redundancy and reducing the amplitude of phase currents. Besides, improved control loops with two layers are put forward as well, with which the PMSM system acquires fewer harmonics in phase current and smoother electromagnetic torque. Simulation and experimental results of open-circuit faults are provided for verification of the theoretical analysis.

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Chandrasekaran, V., and T. Manigandan. "Energy Conservation through Multi Winding Induction Machines." Advanced Materials Research 433-440 (January 2012): 7165–69. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7165.

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Three phase induction motors are employed in Textile mills, Agriculture and in almost all the machine tools. More than 60% of electrical energy generated being consumed by the induction motors. Hence, even a small contribution in the improvement of the power factor and efficiency will be cost effective. The power factor and efficiency of an induction motor is based on the shaft load and in order to improve the same, multi windings are suggested in the same stator. In multi winding induction machines, when one set of windings is connected to a three phase a supply, a revolving magnetic field of constant magnitude is developed in the air gap which is responsible to work as a conventional induction motor to meet the mechanical load and to develop a three phase EMF in the other winding that works as an Induction Alternator (IA).Double Winding Induction Motor (DWIM) also provides an opportunity to load each winding individually to its rated capacity. A small three phase load or a single phase load may be connected to the second set of winding. The dependency of separate supply for this load is eliminated. Hence, improvement in the efficiency, power factor and energy conservation is made possible in these machines. In order to validate the problem statement, a 3-phase, 3.0 kW, 415 V Double Winding Induction Motor(DWIM), a 3-phase, 3.0 kW, 415 V Double Winding Synchronous Reluctance Motor (DWSyRM), a 3-phase, 2.2 kW, 415 V Three Winding Induction Motor (TWIM) have been designed, fabricated and tested. Two controllers have been designed, one for a DWIM to operate the motor in power balancing and maximum efficiency modes of operation and other to operate TWIM at three different voltage levels depending upon the shaft load. In this paper, detailed comparisons of performances of three multi winding machines are presented.

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Scott, Joseph, Maysum Panju, and Vijay Ganesh. "LGML: Logic Guided Machine Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13909–10. http://dx.doi.org/10.1609/aaai.v34i10.7227.

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We introduce Logic Guided Machine Learning (LGML), a novel approach that symbiotically combines machine learning (ML) and logic solvers to learn mathematical functions from data. LGML consists of two phases, namely a learning-phase and a logic-phase with a corrective feedback loop, such that, the learning-phase learns symbolic expressions from input data, and the logic-phase cross verifies the consistency of the learned expression with known auxiliary truths. If inconsistent, the logic-phase feeds back "counterexamples" to the learning-phase. This process is repeated until the learned expression is consistent with auxiliary truth. Using LGML, we were able to learn expressions that correspond to the Pythagorean theorem and the sine function, with several orders of magnitude improvements in data efficiency compared to an approach based on an out-of-the-box multi-layered perceptron (MLP).

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Xu, Gao Chun, Qing Xi Hu, Li Min Li, and Chun Xiang Dai. "Numerical Simulation of Oil Mist Process in Cold Heading Machine." Applied Mechanics and Materials 37-38 (November 2010): 739–42. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.739.

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Based on control equations in fluid dynamics, the main thought of oil mist process for cold heading machine is proposed according to the idea of green manufacturing. The computation fluid dynamics (CFD) software is applied to simulate the multi-phase oil mist flow in control box. The simulation results give some figures including distribution and stream line path of multi-phase flow of oil mist in the control box. The results show that the inlet position of oil mist effects on its process and three types of control box are compared, from which the best type is obtained.

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Sun, Yuhua, Nicola Bianchi, Jinghua Ji, and Wenxiang Zhao. "Improving Torque Analysis and Design Using the Air-Gap Field Modulation Principle for Permanent-Magnet Hub Machines." Energies 16, no. 17 (August 27, 2023): 6214. http://dx.doi.org/10.3390/en16176214.

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The Double Permanent Magnet Vernier (DPMV) machine is well known for its high torque density and magnet utilization ratio. This paper aims to investigate the torque generation mechanism and its improved design in DPMV machines for hub propulsion based on the field modulation principle. Firstly, the topology of the proposed DPMV machine is introduced, and a commercial PM machine is used as a benchmark. Secondly, the rotor PM, stator PM, and armature magnetic fields are derived and analyzed considering the modulation effect, respectively. Meanwhile, the contribution of each harmonic to average torque is pointed out. It can be concluded that the 7th-, 12th-, 19th- and 24th-order flux density harmonics are the main source of average torque. Thanks to the multi-working harmonic characteristics, the average torque of DPMV machines has significantly increased by 31.8% compared to the counterpart commercial PM machine, while also reducing the PM weight by 75%. Thirdly, the auxiliary barrier structure and dual three-phase winding configuration are proposed from the perspective of optimizing the phase and amplitude of working harmonics, respectively. The improvements in average torque are 9.9% and 5.4%, correspondingly.

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Chen, Qixu, Guoli Li, Wenping Cao, Zhe Qian, and Qunjing Wang. "Winding MMF and PM MMF Analysis of Axial-Flux Machine with Multi-Phase and Multi-Layer Winding." Energies 14, no. 16 (August 20, 2021): 5147. http://dx.doi.org/10.3390/en14165147.

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According to star graph and winding distribution, winding MMFs of three kinds of 12-slot/10-pole multi-phase and multi-layer winding layout are analyzed by the improved winding function method. Analysis results show that multi-phase and multi-layer winding can suppress even order and (12n ± 1) order harmonics, thereby reducing the eddy-current loss in PMs. Based on the unfolded LPMSM model, rotor MMF, air gap flux density, and no-load back-EMF are analyzed by the analytical permeance function method, which is validated by Teslameter and no-load experiment. Winding MMF is validated by FEM. An axial-flux integrated starting/generator (ISG) with double-three-phase four-layer (DTP-FL) winding, segmented armature and PM, and centrifugal fan is designed and manufactured. The no-load and load test with two groups of resistance established has validated the reasonability of the mentioned method. Experiments show that the axial-flux ISG prototype can run at a relative temperature rise.

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Salim, Nur Ashida, Nur Diyana Shahirah Mohd Zain, Hasmaini Mohamad, Zuhaila Mat Yasin, and Nur Fadilah Ab Aziz. "Multi-machine transient stability by using static synchronous series compensator." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3 (September 1, 2020): 1249. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1249-1258.

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Transient stability in power system is vital to be addressed due to large disturbances that could damage the system such as load changes and voltage increases. This paper presents a multi-machine transient stability using the Static Synchronous Series Compensator (SSSC). SSSC is a device that is connected in series with the power transmission line and produces controllable voltage which contribute to a better performance in the power system stability. As a result, this research has observed a comparison of the synchronization of a three-phase system during single-phase faults before and after installing the SSSC device. In addition, this research investigates the ability of three different types of controllers i.e. Proportional Integral (PI), Proportional Integral Derivation (PID), and Generic controllers to be added to the SSSC improve the transient stability as it cannot operate by itself. This is because the improvement is too small and not able to achieve the desired output. The task presented is to improve the synchronization of the system and time taken for the voltage to stabilize due to the fault. The simulation result shows that the SSSC with an additional controller can improve the stability of a multi-machine power system in a single phase fault.

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Zhao, Y., and T. A. Lipo. "Modeling and control of a multi-phase induction machine with structural unbalance." IEEE Transactions on Energy Conversion 11, no. 3 (1996): 570–77. http://dx.doi.org/10.1109/60.537009.

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Zhao, Y., and T. A. Lipo. "Modeling and control of a multi-phase induction machine with structural unbalance." IEEE Transactions on Energy Conversion 11, no. 3 (1996): 578–84. http://dx.doi.org/10.1109/60.537028.

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Zhang, Qiang, Qiu Shuang Song, and Jun Mao. "Numerical Simulation of Erosion and Particle Motion of Multi-Medium Oil-Coal-Water Slurry Pump." Advanced Materials Research 346 (September 2011): 398–404. http://dx.doi.org/10.4028/www.scientific.net/amr.346.398.

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Oil-coal-water slurry as a new alternative fuel was used on diesel engines. The Multi- medium oil -coal-water slurry pump wears serious bottleneck with presence of solid coal particles. Based on VOF multi-flow model, Reynolds stress model and discrete phase model to the continuous phase and dispersed phase, the Multi- medium erosion and motion trajectory of solid particle the impact progress between solid particle and machine surface were simulated successfully. The volume content of solid phase in Multi- medium flow was lower than 10 % in this simulation model. According to the simulation result, the related parameters of solid particle, such as density and diameter, mix proportional and plunger speed of impeller greatly influenced the motion trajectory and the impaction with machine surface of solid particle. The solid particle with large mass was apt to move toward to the working surface and impacted the inside of piston shell. By contraries, little particle was liable to impact the plunger barrel assembly. The plunger speed more high, the plunger barrel assembly more erosion. The plunger barrel assembly wears with solid mix proportional.

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Bensaoucha, Saddam, Youcef Brik, Sandrine Moreau, Sid Ahmed Bessedik, and Aissa Ameur. "Induction machine stator short-circuit fault detection using support vector machine." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 40, no. 3 (May 21, 2021): 373–89. http://dx.doi.org/10.1108/compel-06-2020-0208.

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Purpose This paper provides an effective study to detect and locate the inter-turn short-circuit faults (ITSC) in a three-phase induction motor (IM) using the support vector machine (SVM). The characteristics extracted from the analysis of the phase shifts between the stator currents and their corresponding voltages are used as inputs to train the SVM. The latter automatically decides on the IM state, either a healthy motor or a short-circuit fault on one of its three phases. Design/methodology/approach To evaluate the performance of the SVM, three supervised algorithms of machine learning, namely, multi-layer perceptron neural networks (MLPNNs), radial basis function neural networks (RBFNNs) and extreme learning machine (ELM) are used along with the SVM in this study. Thus, all classifiers (SVM, MLPNN, RBFNN and ELM) are tested and the results are compared with the same data set. Findings The obtained results showed that the SVM outperforms MLPNN, RBFNNs and ELM to diagnose the health status of the IM. Especially, this technique (SVM) provides an excellent performance because it is able to detect a fault of two short-circuited turns (early detection) when the IM is operating under a low load. Originality/value The original of this work is to use the SVM algorithm based on the phase shift between the stator currents and their voltages as inputs to detect and locate the ITSC fault.

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Zhang, Dezheng, Peng Li, and Aziguli Wulamu. "An Improved Multi-Label Learning Method with ELM-RBF and a Synergistic Adaptive Genetic Algorithm." Algorithms 15, no. 6 (May 26, 2022): 185. http://dx.doi.org/10.3390/a15060185.

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Profiting from the great progress of information technology, a huge number of multi-label samples are available in our daily life. As a result, multi-label classification has aroused widespread concern. Different from traditional machine learning methods which are time-consuming during the training phase, ELM-RBF (extreme learning machine-radial basis function) is more efficient and has become a research hotspot in multi-label classification. However, because of the lack of effective optimization methods, conventional extreme learning machines are always unstable and tend to fall into local optimum, which leads to low prediction accuracy in practical applications. To this end, a modified ELM-RBF with a synergistic adaptive genetic algorithm (ELM-RBF-SAGA) is proposed in this paper. In ELM-RBF-SAGA, we present a synergistic adaptive genetic algorithm (SAGA) to optimize the performance of ELM-RBF. In addition, two optimization methods are employed collaboratively in SAGA. One is used for adjusting the range of fitness value, the other is applied to update crossover and mutation probability. Sufficient experiments show that ELM-RBF-SAGA has excellent performance in multi-label classification.

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Wang, Xuchen, Hao Yan, Giampaolo Buticchi, Chunyang Gu, and He Zhang. "Equivalent Phase Current Harmonic Elimination in Quadruple Three-Phase Drives Based on Carrier Phase Shift Method." Energies 13, no. 11 (May 28, 2020): 2709. http://dx.doi.org/10.3390/en13112709.

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Multiphase drives are entering the spotlight of the research community for transportation applications with their high power density and the possibility of high fault tolerance. The multi three-phase drive is one of the main types of multiphase drives that allows for the direct adoption of commercial three-phase converters and high control flexibility. The elimination of high-frequency current harmonics will reduce the flux linkage harmonics, torque ripple, vibration and noise in machine drives. Therefore, this work introduces a new method to the modelling of equivalent phase current in multi three-phase drives with the double integral Fourier analysis method. A new carrier-based pulse-width modulation (CPWM) method is introduced to reduce the equivalent phase current harmonics by applying proper carrier phase angle to each subsystem in the multi three-phase drives. The proposed angles of carrier signals are analyzed for quadruple three-phase drives, and the corresponding experimental results confirm the significance of the proposed phase-shifted CPWM method to eliminate the equivalent phase current harmonics.

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Choudhury, Amitava, Tanmay Konnur, P. P. Chattopadhyay, and Snehanshu Pal. "Structure prediction of multi-principal element alloys using ensemble learning." Engineering Computations 37, no. 3 (November 21, 2019): 1003–22. http://dx.doi.org/10.1108/ec-04-2019-0151.

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Purpose The purpose of this paper, is to predict the various phases and crystal structure from multi-component alloys. Nowadays, the concept and strategies of the development of multi-principal element alloys (MPEAs) significantly increase the count of the potential candidate of alloy systems, which demand proper screening of large number of alloy systems based on the nature of their phase and structure. Experimentally obtained data linking elemental properties and their resulting phases for MPEAs is profused; hence, there is a strong scope for categorization/classification of MPEAs based on structural features of the resultant phase along with distinctive connections between elemental properties and phases. Design/methodology/approach In this paper, several machine-learning algorithms have been used to recognize the underlying data pattern using data sets to design MPEAs and classify them based on structural features of their resultant phase such as single-phase solid solution, amorphous and intermetallic compounds. Further classification of MPEAs having single-phase solid solution is performed based on crystal structure using an ensemble-based machine-learning algorithm known as random-forest algorithm. Findings The model developed by implementing random-forest algorithm has resulted in an accuracy of 91 per cent for phase prediction and 93 per cent for crystal structure prediction for single-phase solid solution class of MPEAs. Five input parameters are used in the prediction model namely, valence electron concentration, difference in the pauling negativeness, atomic size difference, mixing enthalpy and mixing entropy. It has been found that the valence electron concentration is the most important feature with respect to prediction of phases. To avoid overfitting problem, fivefold cross-validation has been performed. To understand the comparative performance, different algorithms such as K-nearest Neighbor, support vector machine, logistic regression, naïve-based approach, decision tree and neural network have been used in the data set. Originality/value In this paper, the authors described the phase selection and crystal structure prediction mechanism in MPEA data set and have achieved better accuracy using machine learning.

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Iffouzar, Koussaila, Mohamed-Fouad Benkhoris, Bessam Amrouche, Azeddine Houari, Kaci Ghedamsi, and Ali Djerioui. "A New Post-Fault Reconfiguration Strategy under Open-Phase Operation Conditions of Asymmetrical Double-Star Induction Machines." Energies 16, no. 15 (August 1, 2023): 5740. http://dx.doi.org/10.3390/en16155740.

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The fault tolerance proprieties of multiphase induction machines make them candidate technologies for future electrified transport systems. Indeed, the use of multiphase drives is primarily recommended for their redundancy, which allows them to handle increasing power demands as well as provide fault-tolerant operation. One of the most common failures in polyphase induction machines is open-phase fault (OPF). Under this degraded mode, machine performance deteriorates with increased torque ripples and copper losses. This work investigates the fault-tolerant operation of dual star induction machines (DSIM) with two connected neutral points in which a new post-fault operation technique is introduced to manage the OPFs. The machine was modeled on the natural reference frame, and no transformations were used. The phase opening is caused by inserting a high-value resistor in series with the faulty phase, which cancels the current flowing in the latter. A post-fault reconfiguration strategy that reorganizes the power converter in order to cancel torque ripples by exploiting the principle of multi-biphase modeling of the DSIM is proposed. The performance of the proposed reconfiguration strategy was verified through detailed simulation results.

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Lavanya, M., and B. Jyothi. "Performance Analysis of 5-Phase Multi-level Inverter Using Carrier Based PWM Technique." International Journal of Applied Power Engineering (IJAPE) 5, no. 3 (December 1, 2016): 151. http://dx.doi.org/10.11591/ijape.v5.i3.pp151-158.

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The major analysis has been based on the induction machine drive system that is for the analysis of the carrier based PWM two level source inverter. The unbalanced conditions are mainly to handle the results of simulation for the analysis that results in the two fault conditions. The system setup has been involving the voltage source inverter as well as the five phase multi-level inverter. The effects are through performing the scenarios which consider the performance effects with the load on induction machine. The simulation is based on the imbalance conditions which results on the oscillations depending on the electromagnetic torque through the attendant reduction of the torque rating. The larger slipping has been in the rotor speed.

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Zhang, Gen Bao, and Xiao Bo Liao. "Research on Reliability Allocation of Direct-Drive Hobbing Machine." Materials Science Forum 628-629 (August 2009): 245–50. http://dx.doi.org/10.4028/www.scientific.net/msf.628-629.245.

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In the early design phase of direct-drive hobbing machine, to allocate the reliability index scientifically and reasonably without the related reliability data, fuzzy analytic hierarchy process (fuzzy AHP) is used to allocate the reliability index of the main system units of direct-drive hobbing machine. This method is an effect way for multi-factor decision, which can consider the influence of the factors of every hierarchy on the machine maximatily and calculate the influence weights of the factors of every hierarchy quantitatively. Research on reliability allocation of direct-drive hobbing machine illustrate that this method is suitable for reliability allocation during innovative design phase.

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Jedryczka, Cezary. "Comparative analysis of the three- and six-phase fractional slot concentrated winding permanent magnet machines." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 3 (May 2, 2017): 811–23. http://dx.doi.org/10.1108/compel-09-2016-0431.

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Purpose The purpose of this paper is to analyse and compare the functional parameters of three- and six-phase permanent magnet synchronous motors (PMSM) with fractional-slot concentrated windings (FSCW). Design/methodology/approach The investigations are focused on the comparison of the distortions of back electromotive force (emf) and magnetomotive force (mmf) waveforms, as well as torque ripples, radial force spatial harmonics and motor performance studies. The finite element models of the test machine and a personally developed computer code have been used to calculate motor characteristics and analyse and synthesise multiphase winding layouts, respectively. Findings Compared with the traditional three-phase PMSM designs, the proposed six-phase machines are characterized by a significantly lower content of sub-harmonics in mmf waveform distribution. Moreover, the investigated six-phase machines exhibited a higher average value of electromagnetic torque, significantly lower torque ripples and a reduced value of low-order harmonics of the radial component of the electromagnetic force in the air-gap of the machine. Originality/value The analyses presented in this paper show that six-phase PMSM with FSCWs are advantageous to their counterpart three-phase machines. Specifically, they are more suited to working with multiple drives supplying a segmented winding system while simultaneously offering higher performance. This suitability to the use of a multi-drive supply for one motor offers flexibility and cost reduction while increasing the fault tolerance of a power train system.

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He, Tian, Debiao Li, and Sang Won Yoon. "A multi-phase planning heuristic for a dual-delivery SMT placement machine optimization." Robotics and Computer-Integrated Manufacturing 47 (October 2017): 85–94. http://dx.doi.org/10.1016/j.rcim.2016.11.006.

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Wang, H. F., and F. J. Swift. "Multiple stabilizer setting in multi-machine power systems by the phase compensation method." International Journal of Electrical Power & Energy Systems 20, no. 4 (May 1998): 241–46. http://dx.doi.org/10.1016/s0142-0615(98)00002-7.

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Xia, Yue, and Kai Strunz. "Multi-Scale Induction Machine Model in the Phase Domain With Constant Inner Impedance." IEEE Transactions on Power Systems 35, no. 3 (May 2020): 2120–32. http://dx.doi.org/10.1109/tpwrs.2019.2947535.

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Li, Yifan, Shaofeng Huang, Hui Li, and Jian Zhang. "Application of phase sequence exchange in emergency control of a multi-machine system." International Journal of Electrical Power & Energy Systems 121 (October 2020): 106136. http://dx.doi.org/10.1016/j.ijepes.2020.106136.

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Yuan, Zihang, Minghao Wang, Jingang Bai, Wei Liu, and Ping Zheng. "A method to distinguish local demagnetization and short-circuit faults of six-phase interior permanent-magnet machine based on voltage in synchronous frame." AIP Advances 13, no. 2 (February 1, 2023): 025307. http://dx.doi.org/10.1063/9.0000494.

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Short-circuit fault and local demagnetization faults are two common fault types of permanent-magnet machines, aiming to improve the reliability of multi-phase PM machines in safety-critical applications, a method to distinguish these two kinds of faults in six-phase interior PM machines is proposed. The voltage characteristics in synchronous frame of local demagnetization fault and short-circuit fault are investigated, and the influences of load current and internal power factor angle on the voltage harmonic characteristics are analyzed. To solve the problem of the interaction between the extracted harmonic amplitudes in integer and non-integer orders, the average and variance of the harmonic coefficients of the voltages in synchronous frame are utilized to distinguish two types of faults. Through comparing the fault indices under different load conditions of the six-phase interior PM machine, the distinguishing ability of the method is validated.

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Yu, Wenfei, Zhongze Wu, and Wei Hua. "Performance Evaluation of Stator/Rotor-PM Flux-Switching Machines and Interior Rotor-PM Machine for Hybrid Electric Vehicles." World Electric Vehicle Journal 14, no. 6 (May 26, 2023): 139. http://dx.doi.org/10.3390/wevj14060139.

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A three-phase interior permanent magnet (IPM) machine with 18-stator-slots/12-rotor-poles and concentrated armature winding is commercially employed as a 10 kW integrated-starter-generator in a commercial hybrid electric vehicle. For comprehensive and fair evaluation, a pair of flux-switching permanent magnet (FSPM) brushless machines, namely one stator permanent magnet flux-switching (SPM-FS) machine, and one rotor permanent magnet flux-switching (RPM-FS) machine, are designed and compared under the same DC-link voltage and armature current density. Firstly, a SPM-FS machine is designed and compared with an IPM machine under the same torque requirement, and the performance indicates that they exhibit similar torque density; however, the former suffers from magnetic saturation and low utilization of permanent magnets (PMs). Thus, to eliminate significant stator iron saturation and improve the ratio of torque per PM mass, an RPM-machine is designed with the same overall volume of the IPM machine, where the PMs are moved from stator to rotor and a multi-objective optimization algorithm is applied in the machine optimization. Then, the electromagnetic performance of the three machines, considering end-effect, is compared, including air-gap flux density, torque ripple, overload capacity and flux-weakening ability. The predicted results indicate that the RPM-FS machine exhibits the best performance as a promising candidate for hybrid electric vehicles. Experimental results of both the IPM and SPM-FS machines are provided for validation.

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Journal articles on the topic 'Multi-phase machine'

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