Relevant bibliographies by topics / Multi-phase machine

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Multi-phase machine'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Multi-phase machine"

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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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<em>Multi-phase machines are considered serious contenders as compared to the three phase machines for variable applications in generating mode. </em><em>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</em>.
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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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<p>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.</p>
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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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Dissertations / Theses on the topic "Multi-phase machine"

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COSSALE, MARCO. "Multi-phase Starter-Generator for 48 V Mild-Hybrid Powertrains." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2667599.

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Transportation electrification has experienced a significant growth in recent years, and the electrification of the powertrain – namely hybridization – is considered the most viable solution seen by car manufacturers to achieve the challenging emission targets. Among the hybrid electrical powertrain topologies, the mild-hybrid configuration with the 48 V battery system offers the best ratio cost versus CO2 improvements. In particular, the 48 V technology does not require electrical shock protection whilst allows to leverage a variety of fuel saving functions such as electrical boost and regenerative braking. The thesis is focused on the electromagnetic and thermal design of a Belt-driven Starter Generator, BSG, for 48 V mild-hybrid powertrains. In the BSG layout, the starter-generator replaces the conventional alternator with a low impact on the engine compartment layout, even if a redesign of the belt tensioner is required. It is noteworthy to keep in mind that the electrical machine shall provide high starting torque and wide constant power speed range, both in motor and generator mode. Furthermore, the application imposes the adoption of low cost materials and the electrical machine is located in a harsh environment. As a consequence, the design is challenging from the electromagnetic, thermal and mechanical point of view. The novelties of the research lie in the 48 V automotive applications, by describing the practical difficulties to fulfill the design specifications through a suitable material selection, the identification of the cooling system and the available technological solutions. The first section of the thesis reports results from a literature review on electrical machine for mild-hybrid application aiming to highlight different criteria for the selection of the electrical machine. In this context the advantages in terms of fault tolerance and stator current splitting of multiphase drives are investigated. Furthermore, in this section the required performances and the constraints imposed by the specific application are analyzed. Among the different motor technologies, a dual three-phase induction machine having two stator winding sets shifted by 60 electrical degrees is selected as a suitable candidate. The second part of the thesis reports electromagnetic and mechanical issues addressed during the design stage, with special focus on stator winding layout, pole number and rotor slot. The adopted six-phase machine uses a four-layer bar stator winding that has been demonstrated as a good solution to improve the slot fill factor and thermal behavior. In addition, the thesis reports a comparison supported by experimental tests between open and closed rotor slots solutions; the focus is to maximize the machine electromagnetic performance according to the mechanical limits imposed by the rotating speed. Finally, predicted and measured performance of the prototypes are reported and discussed for validation purposes. The third part of the thesis deals with the thermal assessment of the BSG with particular emphasis on accurate winding temperature prediction as well as the cooling system selection. Since the stator-winding region is very sensitive to thermal issues and is usually attributed as being the main heat source within the machine body, its thermal modeling is of major importance. In these regards, a simplified stator winding thermal model was developed for the temperature prediction during transient condition. Moreover, considering that the driving cycle is characterized by time variable loss distribution, an effective cooling system must be mandatorily adopted together with high temperature class insulation material. In this context, the development of heat extraction through forced convection is experimentally investigated on the BSG prototype. As a main outcome of this research activity, it has been demonstrated the feasibility of the proposed design solution with respect to electromagnetic and thermal requirements.
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Vichis-Rodriguez, Damian Sergio. "Modelling of three phase AC machines suitable for internal fault simulation, detection and analysis in multi-machine power systems." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/1782/.

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The ever increasing demand for electrical energy has meant that electrical power systems have evolved to be the highly complex networks that are in existence today, where the transient interactions that take place between large synchronous generators have been the focus of advanced research for many decades. More recently, the proliferation of synchronous and asynchronous generators of comparatively small rating, which are not centrally planned, has added new impetus to this area of research. At a time when not only technical but also economic and environmental concerns must be carefully assessed, more realistic models of the individual power plant transient response and its interaction with the rest of the network become mandatory to achieve more accurate analysis of the network operation and prevent wastage of technical and economical resources. The main thrust of this research project is to develop comprehensive models of rotating machinery with which to assess the transient response of electrical power networks that undergo severe unbalanced operation due to faulty conditions developing anywhere in the power network, including the rotating machinery’s windings. To achieve an unrivalled speed of response, a nodal-based model of the electrical power network has been developed, enabling the study of power networks of any size and topological formation with the utmost flexibility and efficiency. The rotating machinery addressed in this research work is the three-phase synchronous generator and the three-phase asynchronous (induction) machine. In multi-machine power systems transient studies, it is common to look at all the rotating machinery in the network as being healthy units having an idealized sinusoidally distributed stator winding – the possibility of a severe unbalanced condition internal to the machine due to internal fault or the effect of space harmonics, has, so far, not been addressed in a multi-machine environment. In this research work, new EMTP type models, with enhanced numerical properties, are constructed for the simulation of internal and external machine fault phenomena with different levels of details including the effects of saturation and space harmonics. Advanced numerical methods are employed to improve on the numerical stability of the network model allowing the use of larger time steps than what otherwise is possible with traditional numerical methods, enabling the new model to execute faster than existing models and yet to exhibit the same degree of numerical accuracy with an unrivalled degree of modelling flexibility. A case in point is an application made to model the transient response of a Variable Frequency Transformer (VFT) undergoing internal faults on its stator side. The rotating machinery models with internal fault representation developed in this research lend themselves to an application in the area of condition monitoring, where a new method is developed to detect internal faults in the stator side of three phase rotating machinery. The method is shown to be highly effective when applied to machines operating in an isolated environment as well as in a multi-machine power system, performing very well when applied to different types of equipment and various kinds of internal faults.
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STISCIA, ORNELLA. "Performance evaluation of three and multi-three-phase electrical machines using off-line mapping." Doctoral thesis, Politecnico di Torino, 2023. https://hdl.handle.net/11583/2975703.

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Zahr, Hussein. "Machine Pentaphasée A Double Polarité Pour Electrification Du Domaine Des Transports Par Effet Boite De Vitesse Electromagnétique." Thesis, Paris, ENSAM, 2016. http://www.theses.fr/2016ENAM0058/document.

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Les machines électriques à aimants, appréciées pour leurs densités énergétiques volumique et massique, équipent la majorité des véhicules électrifiés. Par contre, dans la zone à puissance constante d’un système de propulsion, les commander à pertes maîtrisées, cela en démagnétisant les aimants mais de façon réversible, reste une gageure, particulièrement sous environnement thermique changeant. Les solutions simples pour se prémunir d’une démagnétisation irréversible sont coûteuses: surdimensionner ou ajouter une terre très très rare (Dysprosium).Cette thèse propose d’ajouter à l’approche de la démagnétisation réversible universellement utilisée, celle d’une boite de vitesse électromagnétique. Pour cela on conçoit une machine pentaphasée à aimants.Passer de trois à cinq phases permet alors d’augmenter les paramètres de réglage de l’alimentation électrique et, moyennant approximation, de disposer de deux machines fictives à p et 3p paires de pôles, chacune pouvant contribuer de façon équivalente à la production du couple. Pratiquement, l’utilisation optimale de ces deux machines permet de reconstituer la fonction de boite de vitesse
Permanent Magnet electrical machines , appreciated for their high power density, equip the majority of the electrified vehicles. However, controlling these machines, in the constant power range of the propulsion system while mastering the losses, with PM reversible demagnetization remains a challenge especially under varying thermal environnement. Proposed solutions aim for protecting PM from irreversible demagnetization are costly: oversizing or using very rare earth PM (Dysprosium).In this thesis, we proposed to add on the reversible demagnetization approach universally used , that of a electromagnetic gearbox. Thus, we design a five phase PM machine.Increasing the phase number from three to five, increases the adjustment parameter of the electrical supply, and allows to have two fictitious machines with p and 3 p poles. Each fictitious machine contributes equivalently in producing torque. Practically, the optimal use of these two machines leads to reconstructing the gearbox function
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Meinguet, Fabien. "Fault-tolerant permanent-magnet synchronous machine drives: fault detection and isolation, control reconfiguration and design considerations." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209757.

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The need for efficiency, reliability and continuous operation has lead over the years to the development of fault-tolerant electrical drives for various industrial purposes and for transport applications. Permanent-magnet synchronous machines have also been gaining interest due to their high torque-to-mass ratio and high efficiency, which make them a very good candidate to reduce the weight and volume of the equipment.

In this work, a multidisciplinary approach for the design of fault-tolerant permanent-magnet synchronous machine drives is presented.

The drive components are described, including the electrical machine, the IGBT-based two-level inverter, the capacitors, the sensors, the controller, the electrical source and interfaces. A literature review of the failure mechanisms and of the reliability model of most of these components is performed. This allows understanding how to take benefit of the redundancy generally introduced in fault-tolerant systems.

A necessary step towards fault tolerance is the modelling of the electrical drive, both in healthy and faulty operations. A general model of multi-phase machines (with a number of phases equal to or larger than three) and associated converters is proposed. Next, control algorithms for multi-phase machines are derived. The impact of a closed-loop controller upon the occurrence of faults is also examined through simulation analysis and verified by experimental results.

Condition monitoring of electrical machines has expanded these last decades. New techniques relying on various measurements have emerged, which allow a better planning of maintenance operations and an optimization of the uptime of electrical machines. Regarding drives, a number of sensors are inherently present for control and basic protection functions. The utilization of these sensors for advanced condition monitoring is thus particularly interesting since they are available at no cost.

A novel fault detection and isolation scheme based on the available measurements (phase currents, DC-link voltage and mechanical position) is developed and validated experimentally. Change-detection algorithms are used for this purpose. Special attention is paid to sensor faults as well, what avoids diagnosis errors.

Fault-tolerant control can be implemented with passive and active approaches. The former consists in deriving a control scheme that gives acceptable performance for all operating conditions, including faulty conditions. The latter consists in applying dedicated solutions upon the occurrence of faults, i.e. by reconfiguring the control. Both approaches are investigated and implemented.

Finally, design considerations are discussed throughout the thesis. The advantages and drawbacks of various topologies are analyzed, which eventually leads to the design of a five-phase fault-tolerant permanent-magnet synchronous machine.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

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Rakgati, Edward Tshitshiri. "Torque Performance of Optimally Designed Multi-Phase Reluctance DC Machines." Thesis, Link to the online version, 2006. http://hdl.handle.net/10019/1174.

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Jones, Martin. "A novel concept of series connected multi-phase, multi-motor drive systems." Thesis, Liverpool John Moores University, 2005. http://researchonline.ljmu.ac.uk/5654/.

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There are many applications, such as paper mills, locomotive traction and machine tools, which require high performance control of more than one electric motor. These multi-motor drives are generally available in two configurations. The first one consists of a number of three-phase voltage source inverters (VSI) connected in parallel to a common DC link, each inverter feeding a three-phase AC motor. This configuration allows independent control of all machines by means of their own three-phase VSIs. The second method comprises one inverter, which feeds multiple parallel-connected three-phase motors. However, this configuration does not allow independent control of each motor and is suitable only for traction. This thesis explores a novel concept for multi-motor drive systems, based on utilization of multi-phase machines and VSIs, and series connection of all the machines in the group. Application of a single multi-phase VSI in conjunction with multi-phase machines generates additional degrees of freedom. The research presented here utilises these additional degrees of freedom to control a number of machines independently within a novel multi-phase multi-machine drive. The concept is based on the fact that independent flux and torque control of any AC machine, regardless of the number of stator phases requires control of only two stator current components. This leaves the remaining current components free to control other machines within the group. It is shown that it is possible to connect the machines in such a way that what one machine sees as the flux/torque producing components the other machines see as non-flux/torque producing components, and vice versa. Therefore it is possible to connect in series a number of multi-phase machines and independently control each machine while supplying them from a single multi-phase inverter. Different configurations of the multi-motor drive are possible depending on certain properties of the supply phase number. In general, higher the supply phase number is, higher the number of connectable machines is. However, some phase numbers are more favourable than others, as discussed in detail in the thesis. Simulation studies are provided for five, six, seven, nine, ten and fifteen phase configurations in order to verify the concept. It is shown that the concept is independent of the type of AC machines used and the only requirement is that they all have sinusoidal distributed magnetomotive force. Current control in both the stationary and rotating reference frames is considered and it is concluded that current control in the rotating reference frame requires compensation of the additional voltage drops caused by the series connection. Two possible methods of compensating for these voltage drops are suggested and verified by simulation. Finally, a laboratory rig is described, which utilises two three-phase inverters connected in such a way as to form a single six-phase inverter. A six-phase two-motor drive comprising a symmetrical six-phase induction machine and a three-phase induction machine or a three-phaseP MSM is investigatede xperimentally. An analysis of the performance of the two-motor drive is presented and it is shown that decoupled control of each machine is achieved.
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Bonthu, Sai Sudheer Reddy. "Optimal Design and Comparative Analysis of Multi-Phase Permanent Magnet Assisted Synchronous Reluctance Machines." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1439393220.

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Fogue, Médard. "Critère de fatigue à longue durée de vie des états multi axiaux de contraintes sinusoïdales en phase et hors phase." Lyon, INSA, 1987. http://www.theses.fr/1987ISAL0030.

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La fatigue occasionne 90% des ruptures des pièces en service. Les états de contraintes sont généralement multiaxiaux mais paradoxalement les critères qui permettent de juger de la sécurité sont peu nombreux et s'avèrent peu satisfaisants soit dans le principe,soit dans la commodité d'exploitation. Le présent mémoire propose un critère de fatigue multi axiale basé sur la moyenne quadratique des amplitudes des contraintes tangentielles et normales. Ce critère est satisfaisant dans son principe et toutes les conséquences (diagramme de HAIGH en traction et torsion en particulier) en sont tirées. Le domaine de validité est tel que τ(-1)/σ(-1) est compris entre 0,577 et 0,866. Un programme général de calcul a été développé. La validation du critère est faite à l'aide d'essai de la littérature selon une méthode originale de validation statistique consistant à comparer lès distributions de la contrainte équivalente et de la limite de fatigue σ(-1) par la méthode de MONTE CARLO. Le critère est validé pour 70% à 80% des essais étudiés
Fracture of mechanical parts in operation are induced mainly by fatigue ( 90%). The stress state are generally multiaxial but surprisingly,criteria which permit safety evaluation are few and not well based in theory and not well suited for practice. The multiaxial fatigue criterion proposed in this report is based on quadratic average of the intensity of tangential and normal stress. This criterion satisfies theoretical requirements and all practical consequences as diagrams of HAIGH in traction and torsion are deduced from it. The validity domain in τ(-1)/σ(-1) is between 0,577 and 0,866. A general program of calculation has been developed. The criterion has been validated by tests found in the technical literature following an original method of statistical validation applied to the comparison of the equivalent stress and of fatigue limit σ(-1). The criterion is qualified for 70 to 80 % of studied tests
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Wredh, Simon. "Neural Network Based Model Predictive Control of Turbulent Gas-Solid Corner Flow." Thesis, Uppsala universitet, Signaler och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420056.

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Over the past decades, attention has been brought to the importance of indoor air quality and the serious threat of bio-aerosol contamination towards human health. A novel idea to transport hazardous particles away from sensitive areas is to automatically control bio-aerosol concentrations, by utilising airflows from ventilation systems. Regarding this, computational fluid dynamics (CFD) may be employed to investigate the dynamical behaviour of airborne particles, and data-driven methods may be used to estimate and control the complex flow simulations. This thesis presents a methodology for machine-learning based control of particle concentrations in turbulent gas-solid flow. The aim is to reduce concentration levels at a 90 degree corner, through systematic manipulation of underlying two-phase flow dynamics, where an energy constrained inlet airflow rate is used as control variable. A CFD experiment of turbulent gas-solid flow in a two-dimensional corner geometry is simulated using the SST k-omega turbulence model for the gas phase, and drag force based discrete random walk for the solid phase. Validation of the two-phase methodology is performed against a backwards facing step experiment, with a 12.2% error correspondence in maximum negative particle velocity downstream the step. Based on simulation data from the CFD experiment, a linear auto-regressive with exogenous inputs (ARX) model and a non-linear ARX based neural network (NN) is used to identify the temporal relationship between inlet flow rate and corner particle concentration. The results suggest that NN is the preferred approach for output predictions of the two-phase system, with roughly four times higher simulation accuracy compared to ARX. The identified NN model is used in a model predictive control (MPC) framework with linearisation in each time step. It is found that the output concentration can be minimised together with the input energy consumption, by means of tracking specified target trajectories. Control signals from NN-MPC also show good performance in controlling the full CFD model, with improved particle removal capabilities, compared to randomly generated signals. In terms of maximal reduction of particle concentration, the NN-MPC scheme is however outperformed by a manually constructed sine signal. In conclusion, CFD based NN-MPC is a feasible methodology for efficient reduction of particle concentrations in a corner area; particularly, a novel application for removal of indoor bio-aerosols is presented. More generally, the results show that NN-MPC may be a promising approach to turbulent multi-phase flow control.
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Book chapters on the topic "Multi-phase machine"

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Madhusoodhanan, Sreekanth, and Joseph Suresh Paul. "A Phase Noise Correction Scheme for Multi-channel Multi-echo SWI Processing." In Machine Intelligence and Signal Processing, 71–82. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1366-4_6.

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Chung, Wen-Yeuan. "Synthesis of Spatial mechanism CS-3SS for Multi-Phase Body Guidance." In Advances in Mechanism and Machine Science, 1275–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20131-9_125.

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Muralidhar, Nikhil, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh Tafti, and Anuj Karpatne. "Science-Guided Design and Evaluation of Machine Learning Models: A Case-Study on Multi-Phase Flows." In Knowledge-Guided Machine Learning, 211–32. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143376-9.

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Zaidi, E., K. Marouani, and H. Bouadi. "Speed Control for Multi-phase Induction Machine Fed by Multi-level Converters Using New Neuro-Fuzzy." In Renewable Energy for Smart and Sustainable Cities, 457–68. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04789-4_49.

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Gong, Yiguang, Yunping Liu, Chuanyang Yin, and Zhiyong Fan. "A Two-Phase Cycle Algorithm Based on Multi-objective Genetic Algorithm and Modified BP Neural Network for Effective Cyber Intrusion Detection." In Machine Learning for Cyber Security, 73–88. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62223-7_7.

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Chau, Nguyen Hai, Masatoshi Kubo, Le Viet Hai, and Tomoyuki Yamamoto. "Phase Prediction of Multi-principal Element Alloys Using Support Vector Machine and Bayesian Optimization." In Intelligent Information and Database Systems, 155–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73280-6_13.

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Kataoka, Takayuki. "A Mathematical Model Considering Multi-skilled Operators and Industrial Robots on Reconfigurable Manufacturing Cells." In Lecture Notes in Mechanical Engineering, 349–56. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_39.

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AbstractA sustainable reconfigurable manufacturing system is one of the most important topics concerning sustainability. Basically, the reconfigurable manufacturing systems have two streams. One is the machine-intensive and the other is the labour-intensive. The machine-intensive means a cell formation problem (CFP) or a reconfigurable manufacturing system (RMS). On the other hand, the labour-intensive means a cellular manufacturing (CM) or a Cell Production System (CPS). Almost all manufacturing sites have these assembly lines separately, however, some advanced manufacturing sites have adopted both CM and CPS in order to absorb variability of demand and operators under the environment of limited multi-skilled operators. When the operators are replaced by industrial robots in the real world, they are called robotic cells and focused as an important component of the cyber-physical system in the large number of recent papers. Therefore, this paper tackles to indicate a multi-period mixed integer programming model to solve simultaneously 2-type cell systems considering multi-skilled operators and industrial robots on reconfigurable manufacturing cells sustainably. Firstly, the traditional model is redefined by new parameters. Secondly, the proposed model is solved by 2-phase optimization problems. Finally, the proposed model is compared with the traditional model by using numerical experiments.
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Reimann, Frank, Horst Graffunder, and Brigitte Wittmann-Liebold. "Multi Purpose Berlin Sequencer Unit Construction of a Multiple Purpose Machine Assembled as Liquid-, Solid-, or Gas-Phase Sequencer." In Methods in Protein Sequence Analysis · 1986, 409–14. Totowa, NJ: Humana Press, 1987. http://dx.doi.org/10.1007/978-1-59259-480-1_32.

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Boldea, Ion. "Multi-Pole Coil Three- or Two-Phase Linear PM Reluctance Motors." In Linear Electric Machines, Drives, and MAGLEVs Handbook, 387–420. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003227670-14.

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Bouarara, Hadj Ahmed. "Multi-Agents Machine Learning (MML) System for Plagiarism Detection." In Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management, 103–19. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3004-6.ch007.

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Day after day the cases of plagiarism increase and become a crucial problem in the modern world caused by the quantity of textual information available in the web. As data mining becomes the foundation for many different domains, one of its chores is a text categorization that can be used in order to resolve the impediment of automatic plagiarism detection. This chapter is devoted to a new approach for combating plagiarism named MML (Multi-agents Machine Learning system) composed of three modules: data preparation and digitalization, using n-gram character or bag of words as methods for the text representation, TF*IDF as weighting to calculate the importance of each term in the corpus in order to transform each document to a vector, and learning and vote phase using three supervised learning algorithms (decision tree c4.5, naïve Bayes, and support vector machine).
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Conference papers on the topic "Multi-phase machine"

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Diana, Michela, Paolo Guglielmi, and Alfredo Vagati. "A novel multi-n-phase machine model." In 2016 XXII International Conference on Electrical Machines (ICEM). IEEE, 2016. http://dx.doi.org/10.1109/icelmach.2016.7732508.

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Kindl, Vladimir, Zelmira Ferkova, and Radek Cermak. "Spatial Harmonics in Multi-Phase Induction Machine." In 2020 ELEKTRO. IEEE, 2020. http://dx.doi.org/10.1109/elektro49696.2020.9130322.

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Mellor, M. P., and M. Brady. "Fluid Registration of Ultrasound using Multi-scale Phase Estimates." In British Machine Vision Conference 2005. British Machine Vision Association, 2005. http://dx.doi.org/10.5244/c.19.86.

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Guenenna, T., K. B. Smida, and A. Khedher. "Multi-phase voltage source inverter driven multi-star induction machine." In 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2016. http://dx.doi.org/10.1109/sta.2016.7952094.

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Ngan, H. W. "Modelling static phase shifters in multi-machine power systems." In APSCOM-97. International Conference on Advances in Power System Control, Operation and Management. IEE, 1997. http://dx.doi.org/10.1049/cp:19971934.

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Joshi, Bhakti M., Dhaval C. Patel, and M. C. Chandorkar. "Machine interactions in field oriented controlled multi-machine three phase induction motor drives." In Drives Conference (IEMDC). IEEE, 2011. http://dx.doi.org/10.1109/iemdc.2011.5994617.

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Pant, V., G. K. Singh, and S. N. Singh. "Modeling of a multi-phase induction machine under fault condition." In Proceedings of the IEEE 1999 International Conference on Power Electronics and Drive Systems. PEDS'99 (Cat. No.99TH8475). IEEE, 1999. http://dx.doi.org/10.1109/peds.1999.794542.

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Bao, G. q., J. k. Wang, D. Zhang, and J. z. Jiang. "An Investigation of Multi-phase Transverse Flux Permanent Magnet Machine." In 2006 5th International Power Electronics and Motion Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/ipemc.2006.297183.

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Bao, G. Q., J. K. Wang, D. Zhang, and J. Z. Jiang. "An Investigation of Multi-phase Transverse Flux Permanent Magnet Machine." In 2006 CES/IEEE 5th International Power Electronics and Motion Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/ipemc.2006.4778104.

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Кинев, Евгений, Evgeniy Kinev, Алексей Тяпин, and Aleksey Tyapin. "CIRCUITRY CONNECTING IGBT-INVERTER TO A MULTI-PHASE INDUCTION MACHINE." In CAD/EDA/Simulation in Modern Electronics. Bryansk State Technical University, 2018. http://dx.doi.org/10.30987/conferencearticle_5c19e61d557532.76134464.

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Reports on the topic "Multi-phase machine"

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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform lighting conditions. In the second part of the framework, the context-based segmentation is developed to eliminate regions from imagery that are not considered to be a threat to the pipeline. Context based segmentation makes use of a cascade of pre-trained classifiers to search for regions that are not threats. The context based segmentation algorithm accelerates threat identification and improves object detection rates. The last phase of the framework is an efficient object detection model. Efficient object detection �follows a three-stage approach which includes extraction of the local phase in the image and the use of local phase characteristics to locate machinery threats. The local phase is an image feature extraction technique which partially removes the lighting variance and preserves the edge information of the object. Multiple orientations of the same object are matched and the correct orientation is selected using feature matching by histogram of local phase in a multi-scale framework. The classifier outputs locations of threats to pipeline.�The advanced automatic image analysis system is intended to be capable of detecting construction equipment along the ROW of pipelines with a very high degree of accuracy in comparison with manual threat identification by a human analyst. �
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