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I have started my career at a transformer company (successor of Ganz Transformer) in Budapest, Hungary, where I have made calculations for transformer design. Then, I worked in a small advisor company (HV Solutions kft.), where I developed small, customized applications (in C++/Python) for independent transformer experts and our partners. It was a great opportunity for me, because I worked not only on the software development, but the development of new and special calculations for transformer design. I have started my PhD studies this time, in the topic of transformer design optimization. TrOptimizer uses the result of my PhD work, a novel, and very fast, metaheuristic-search to solve the power transformer design optimization task. I’m proud that large companies (Niagara Tansformer, JST-transformateurs) started to using my application. Since, I have worked in a numerical solver development team in a multi-national company (Bosch) and now in Pilsen (agros2d.org, agros2d.org/artap) as a postdoctoral researcher. I love research and making new things. I’m interested in the development and the application of optimization methods and numerical field computation methods (FEM).
Data sharing is a central aspect of judicial systems. The openly accessible documents can make the judiciary system more transparent. On the other hand, the published legal documents can contain much sensitive information about the involved persons or companies. For this reason, the anonymization of these documents is obligatory to prevent privacy breaches. General Data Protection Regulation (GDPR) and other modern privacy-protecting regulations have strict definitions of private data containing direct and indirect identifiers. In legal documents, there is a wide range of attributes regarding the involved parties. Moreover, legal documents can contain additional information about the relations between the involved parties and rare events. Hence, the personal data can be represented by a sparse matrix of these attributes. The application of Named Entity Recognition methods is essential for a fair anonymization process but is not enough. Machine learning-based methods should be used together with anonymization models, such as differential privacy, to reduce re-identification risk. On the other hand, the information content (utility) of the text should be preserved. This paper aims to summarize and highlight the open and symmetrical problems from the fields of structured and unstructured text anonymization. The possible methods for anonymizing legal documents discussed and illustrated by case studies from the Hungarian legal practice.
Gergely Márk Csányi; Dániel Nagy; Renátó Vági; János Pál Vadász; Tamás Orosz. Challenges and Open Problems of Legal Document Anonymization. Symmetry 2021, 13, 1490 .
AMA StyleGergely Márk Csányi, Dániel Nagy, Renátó Vági, János Pál Vadász, Tamás Orosz. Challenges and Open Problems of Legal Document Anonymization. Symmetry. 2021; 13 (8):1490.
Chicago/Turabian StyleGergely Márk Csányi; Dániel Nagy; Renátó Vági; János Pál Vadász; Tamás Orosz. 2021. "Challenges and Open Problems of Legal Document Anonymization." Symmetry 13, no. 8: 1490.
Sorting out the legal documents by their subject matter is an essential and time-consuming task due to the large amount of data. Many machine learning-based text categorization methods exist, which can resolve this problem. However, these algorithms can not perform well if they do not have enough training data for every category. Text augmentation can resolve this problem. Data augmentation is a widely used technique in machine learning applications, especially in computer vision. Textual data has different characteristics than images, so different solutions must be applied when the need for data augmentation arises. However, the type and different characteristics of the textual data or the task itself may reduce the number of methods that could be applied in a certain scenario. This paper focuses on text augmentation methods that could be applied to legal documents when classifying them into specific groups of subject matters.
Gergely Csányi; Tamás Orosz. Comparison of data augmentation methods for legal document classification. Acta Technica Jaurinensis 2021, 1 .
AMA StyleGergely Csányi, Tamás Orosz. Comparison of data augmentation methods for legal document classification. Acta Technica Jaurinensis. 2021; ():1.
Chicago/Turabian StyleGergely Csányi; Tamás Orosz. 2021. "Comparison of data augmentation methods for legal document classification." Acta Technica Jaurinensis , no. : 1.
Tamás Orosz; Pavel Karban; David Pánek; Ivo Doležel. FEM-based transformer design optimization technique with evolutionary algorithms and geometric programming. International Journal of Applied Electromagnetics and Mechanics 2021, 64, S41 -S49.
AMA StyleTamás Orosz, Pavel Karban, David Pánek, Ivo Doležel. FEM-based transformer design optimization technique with evolutionary algorithms and geometric programming. International Journal of Applied Electromagnetics and Mechanics. 2021; 64 (Preprint):S41-S49.
Chicago/Turabian StyleTamás Orosz; Pavel Karban; David Pánek; Ivo Doležel. 2021. "FEM-based transformer design optimization technique with evolutionary algorithms and geometric programming." International Journal of Applied Electromagnetics and Mechanics 64, no. Preprint: S41-S49.
The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical machines. However, from the mathematical point of view, these problems belong to the most general branch of non-linear optimization problems, where these tools cannot guarantee that a global minimum is found. The numerical cost and the accuracy of these algorithms depend on the initialization of their internal parameters, which may themselves be the subject of parameter tuning according to the application. In practice, these optimization problems are even more challenging, because engineers are looking for robust designs, which are not sensitive to the tolerances and the manufacturing uncertainties. These criteria further increase these computationally expensive problems due to the additional evaluations of the goal function. The goal of this paper is to give an overview of the widely used optimization techniques in electrical machinery and to summarize the challenges and open problems in the applications of the robust design optimization and the prospects in the case of the newly emerging technologies.
Tamás Orosz; Anton Rassõlkin; Ants Kallaste; Pedro Arsénio; David Pánek; Jan Kaska; Pavel Karban. Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems. Applied Sciences 2020, 10, 6653 .
AMA StyleTamás Orosz, Anton Rassõlkin, Ants Kallaste, Pedro Arsénio, David Pánek, Jan Kaska, Pavel Karban. Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems. Applied Sciences. 2020; 10 (19):6653.
Chicago/Turabian StyleTamás Orosz; Anton Rassõlkin; Ants Kallaste; Pedro Arsénio; David Pánek; Jan Kaska; Pavel Karban. 2020. "Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems." Applied Sciences 10, no. 19: 6653.
Two powerful and versatile code packages (Agros Suite and Ārtap) are presented for design and optimization of technical devices and systems. Agros Suite represents an environment for numerical solution of systems consisting of partial differential equations (PDEs) of the second order by a higher-order finite element method with a lot of further advanced features such as full adaptivity and selected optimization techniques. Ārtap is a robust design optimization toolbox that provides a simple and efficient programming environment for a wide-range of optimization methods, integrated and external PDE solvers and well-established machine learning tools. Both packages are described in a sufficient detail and their power is illustrated with solution of three problems from the domain of technical sciences.
Pavel Karban; David Pánek; Tamás Orosz; Iveta Petrášová; Ivo Doležel. FEM based robust design optimization with Agros and Ārtap. Computers & Mathematics with Applications 2020, 81, 618 -633.
AMA StylePavel Karban, David Pánek, Tamás Orosz, Iveta Petrášová, Ivo Doležel. FEM based robust design optimization with Agros and Ārtap. Computers & Mathematics with Applications. 2020; 81 ():618-633.
Chicago/Turabian StylePavel Karban; David Pánek; Tamás Orosz; Iveta Petrášová; Ivo Doležel. 2020. "FEM based robust design optimization with Agros and Ārtap." Computers & Mathematics with Applications 81, no. : 618-633.
Since large power transformers are custom-made, and their design process is a labor-intensive task, their design process is split into different parts. In tendering, the price calculation is based on the preliminary design of the transformer. Due to the complexity of this task, it belongs to the most general branch of discrete, non-linear mathematical optimization problems. Most of the published algorithms are using a copper filling factor based winding model to calculate the main dimensions of the transformer during this first, preliminary design step. Therefore, these cost optimization methods are not considering the detailed winding layout and the conductor dimensions. However, the knowledge of the exact conductor dimensions is essential to calculate the thermal behaviour of the windings and make a more accurate stray loss calculation. The paper presents a novel, evolutionary algorithm-based transformer optimization method which can determine the optimal conductor shape for the windings during this examined preliminary design stage. The accuracy of the presented FEM method was tested on an existing transformer design. Then the results of the proposed optimization method have been compared with a validated transformer design optimization algorithm.
Tamás Orosz; David Pánek; Pavel Karban. FEM Based Preliminary Design Optimization in Case of Large Power Transformers. Applied Sciences 2020, 10, 1361 .
AMA StyleTamás Orosz, David Pánek, Pavel Karban. FEM Based Preliminary Design Optimization in Case of Large Power Transformers. Applied Sciences. 2020; 10 (4):1361.
Chicago/Turabian StyleTamás Orosz; David Pánek; Pavel Karban. 2020. "FEM Based Preliminary Design Optimization in Case of Large Power Transformers." Applied Sciences 10, no. 4: 1361.
Since the electrical machine design is a complex task it can be divided into sub-problems, e.g. preliminary and final design processes and checking of the final design. This paper deals with the preliminary design process, which provides the key-design parameters of the electrical machine. Traditionally, these electrical machine models in preliminary design phase neglect or use oversimplified insulation system models and the tap changing selection is not involved during the calculation of key-design parameters. The aim of this study is to assess the effect of the insulation distance minimization and tap-changing on the key design parameters of a cost-optimized large power transformer. For this purpose, the paper shows some examples, where the cost optimal design — in contrast to the classical insulation design rule — contains larger insulation distances than the possible minimum values. The effect of tap-changing methods are also investigated. These cost optimization made by a verified, metaheuristic method-based transformer optimization algorithm. The results show involving the insulation design and tap-changing selection into the preliminary design process can provide more economical designs.
Tamás Orosz; Zoltán Ádám Tamus. Non-linear Impact of the Short Circuit Impedance Selection on the Cost Optimized Power Transformer Design. Periodica Polytechnica Electrical Engineering and Computer Science 2020, 64, 221 -228.
AMA StyleTamás Orosz, Zoltán Ádám Tamus. Non-linear Impact of the Short Circuit Impedance Selection on the Cost Optimized Power Transformer Design. Periodica Polytechnica Electrical Engineering and Computer Science. 2020; 64 (3):221-228.
Chicago/Turabian StyleTamás Orosz; Zoltán Ádám Tamus. 2020. "Non-linear Impact of the Short Circuit Impedance Selection on the Cost Optimized Power Transformer Design." Periodica Polytechnica Electrical Engineering and Computer Science 64, no. 3: 221-228.
Purpose The purpose of this paper is to compare different reduced-order models for models of control of induction brazing process. In the presented application, the problem is to reconstruct temperature at the points of interests (hot spots) from information measured at accessible places. Design/methodology/approach The paper describes the process of induction brazing. It presents the full field model and evaluates the possibilities for obtaining reduced models for temperature estimation. The primary attention is paid to the model based on proper orthogonal decomposition (POD). Findings The paper shows that for the given application, it is possible to find low-order estimator. In the examined linear case, the best estimator was created using POD reduced model together with the linear Kalman filter. Research limitations/implications The authors are aware of two main limitations of the presented study: material properties are considered linear, which is not a completely realistic assumption. However, if strong coupling and nonlinear material parameters are considered, the model becomes unsolvable. The process and measurement uncertainties are not considered. Originality/value The paper deals with POD of multi-physics 3 D application of induction brazing. The paper compares 11 different methods for temperature estimator design.
David Pánek; Pavel Karban; Tamás Orosz; Ivo Doležel. Comparison of simplified techniques for solving selected coupled electroheat problems. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 2020, 39, 220 -230.
AMA StyleDavid Pánek, Pavel Karban, Tamás Orosz, Ivo Doležel. Comparison of simplified techniques for solving selected coupled electroheat problems. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 2020; 39 (1):220-230.
Chicago/Turabian StyleDavid Pánek; Pavel Karban; Tamás Orosz; Ivo Doležel. 2020. "Comparison of simplified techniques for solving selected coupled electroheat problems." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 1: 220-230.
Since large power transformers are custom-made, and their design process is a labor-intensive task, their design process is split into different parts. In tendering, the price calculation is based on the preliminary design of the transformer. Due to the complexity of this task, it belongs to the most general branch of discrete, non-linear mathematical optimization problems. Most of the published algorithms are using a copper filling factor based winding model to calculate the main dimensions of the transformer during this first, preliminary design step. Therefore, these cost optimization methods are not considering the detailed winding layout and the conductor dimensions. However, the knowledge of the exact conductor dimensions is essential to calculate the thermal behaviour of the windings and make a more accurate stray loss calculation. The paper presents a novel, evolutionary algorithm-based transformer optimization method which can determine the optimal conductor shape for the windings during this examined preliminary design stage. The accuracy of the presented FEM method was tested on an existing transformer design. Then the results of the proposed optimization method have been compared with a validated transformer design optimization algorithm.
Tamás Orosz; David Pánek; Pavel Karban. FEM Based Preliminary Design Optimization in Case of Large Power Transformers. 2019, 1 .
AMA StyleTamás Orosz, David Pánek, Pavel Karban. FEM Based Preliminary Design Optimization in Case of Large Power Transformers. . 2019; ():1.
Chicago/Turabian StyleTamás Orosz; David Pánek; Pavel Karban. 2019. "FEM Based Preliminary Design Optimization in Case of Large Power Transformers." , no. : 1.
The main goal of the Artap project is to provide an extensive infrastructure for robust design optimization, where usually many different numerical solvers have to be used together and the impact of the manufacturing uncertainties have to be minimized. Artap is an open-source software platform, developed jointly with the coupled numerical field solver, Agros Suite. Artap ensures interfaces for a broad collection of optimization algorithms (genetic and evolutionary algorithms, various interfaces to libraries such as Nlopt, Bayesopt, etc.), tools for machine learning (neural networks, Gaussian processes, etc.), finite element solvers (Agros Suite, Comsol, Multiphysics, deal.II). The implemented tools offers an easy and straightforward solution not only for robust design optimization but parameter identification, model order reduction, and shape optimization, as well. Moreover, Artap provides automatic parallelization of the optimization process. The paper presents the structure of the framework and technologies powering the project. The main features of Artap are demonstrated on an induction brazing process design tasks.
David Panek; Tamás Orosz; Pavel Karban. Artap: Robust Design Optimization Framework for Engineering Applications. 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) 2019, 1 -6.
AMA StyleDavid Panek, Tamás Orosz, Pavel Karban. Artap: Robust Design Optimization Framework for Engineering Applications. 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS). 2019; ():1-6.
Chicago/Turabian StyleDavid Panek; Tamás Orosz; Pavel Karban. 2019. "Artap: Robust Design Optimization Framework for Engineering Applications." 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) , no. : 1-6.
Accurate temperature control is an important part of an induction brazing process, because of a small difference between melting points of aluminum and soldering material. However, direct measurement of the local temperature at the spot of brazing is not possible in a production line. This temperature can be calculated from the results of indirect measurements and the physical model of the system. This paper shows a novel application of model order reduction in case of online temperature measurement. Three different controlling strategies are examined, the results proved that the more sophisticated, program controlled or mixed strategies need higher-order MOR models to accurately solve the problem. The presented, fourth degree meta-model provides sufficiently accurate results, which very fast and may be implemented into a micro-controller.
David Panek; Tamás Orosz; Petr Kropik; Pavel Karban; Ivo Dolezel. Reduced-Order Model Based Temperature Control of Induction Brazing Process. 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) 2019, 1 -4.
AMA StyleDavid Panek, Tamás Orosz, Petr Kropik, Pavel Karban, Ivo Dolezel. Reduced-Order Model Based Temperature Control of Induction Brazing Process. 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM). 2019; ():1-4.
Chicago/Turabian StyleDavid Panek; Tamás Orosz; Petr Kropik; Pavel Karban; Ivo Dolezel. 2019. "Reduced-Order Model Based Temperature Control of Induction Brazing Process." 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) , no. : 1-4.
Design of electrical machines with low carbon footprint is an actual topic in the industry. Total cost of ownership is the standardized methodology to consider the lifetime costs of a power transformer already in the pre-concept design stage. There still does not exist a widely accepted method to calculate the carbon footprint of power transformers. In this paper a carbon footprint based optimization is presented for a realistic, sub-station transformer selection problem. A two-winding, metaheuristic transformer optimization method is used to calculate transformer optimal key-design parameters. The optimal losses and main parameters of the transformer are compared with the result of TCO optimization. The results shows that a lesser efficient, smaller machine can be a global optimum, if just the environmental factors and the active part of the transformer are considered.
Tamas Orosz; Peter Poor; Pavel Karban; David Panek. Power Transformer Design Optimization for Carbon Footprint. 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) 2019, 1 -4.
AMA StyleTamas Orosz, Peter Poor, Pavel Karban, David Panek. Power Transformer Design Optimization for Carbon Footprint. 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM). 2019; ():1-4.
Chicago/Turabian StyleTamas Orosz; Peter Poor; Pavel Karban; David Panek. 2019. "Power Transformer Design Optimization for Carbon Footprint." 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM) , no. : 1-4.
Transformer design is a challenging engineering task, where the different physical fields have to be harmonized together to fulfill the implied specifications. Due to the difficulty of this task, it can be separated into several subproblems. The first subproblem, in the pre-concept phase, during the transformer design is the calculation of the cost optimal key-design parameters, where not only the technical but also the economical parameters have to be considered, as well. This subproblem belongs to the most general branch of the non-linear mathematical optimization problems. This paper presents the main directions of the evolution and trends in the power transformer design. Main directions of the considered research and the future trends in the field of preliminary design transformer optimization methods are summarized.
Tamás Orosz. Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods. Periodica Polytechnica Electrical Engineering and Computer Science 2019, 63, 37 -50.
AMA StyleTamás Orosz. Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods. Periodica Polytechnica Electrical Engineering and Computer Science. 2019; 63 (1):37-50.
Chicago/Turabian StyleTamás Orosz. 2019. "Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods." Periodica Polytechnica Electrical Engineering and Computer Science 63, no. 1: 37-50.
Making a competitive transformer design is a nonlinear mathematical optimization task which should be solved in the tendering design stage. Due to the complexity of the power transformer design, a wide range of optimization algorithms are been proposed in the literature. Despite the large number of design optimization methods, most of them neglect the effect of tapping arrangement from their transformer model in the tendering design stage. In this paper, the effect of these different regulation types is examined by a power transformer design methodology which applies geometric programming-based meta-heuristic algorithm. The impact of the selection between a two-winding built-in, a reversed and a coarse-fine regulated tapping arrangement is examined focusing on the total ownership cost and the key-design parameters. A design example on a 63-MVA, three-phase core-type power transformer with the three types of tapping arrangements is presented, and their effect on the parameters is analyzed.
Tamás Orosz; Zoltán Ádám Tamus. Impact of short-circuit impedance and tap changing method selection on the key-design parameters of core-form power transformers. Electrical Engineering 2017, 100, 1631 -1637.
AMA StyleTamás Orosz, Zoltán Ádám Tamus. Impact of short-circuit impedance and tap changing method selection on the key-design parameters of core-form power transformers. Electrical Engineering. 2017; 100 (3):1631-1637.
Chicago/Turabian StyleTamás Orosz; Zoltán Ádám Tamus. 2017. "Impact of short-circuit impedance and tap changing method selection on the key-design parameters of core-form power transformers." Electrical Engineering 100, no. 3: 1631-1637.
The first step in transformer design optimization is to solve a non-linear optimization task. Here, not only the physical and technological requirements, but the economic aspects are also considered. Large number of optimization algorithms have been developed to solve this task. These methods result the optimal electrical parameters and the shape of the core and winding geometry. Most of them model the windings by their copper filling factors. Therefore the transformer designer’s next task, to find out the detailed winding arrangement, which fits to the optimization results. However, in the case of large power transformers, the calculation of some parameters like: winding gradients, short-circuit stresses etc., needs the knowledge of the exact wire dimensions and winding arrangement. Therefore, an other optimization task should be solved. This paper shows how this sub-problem can be formulated and solved as a generalized geometric program.
Tamás Orosz; Tamás Nagy; Zoltán Ádám Tamus. A Generalized Geometric Programming Sub-problem of Transformer Design Optimization. Collaboration in a Hyperconnected World 2017, 373 -381.
AMA StyleTamás Orosz, Tamás Nagy, Zoltán Ádám Tamus. A Generalized Geometric Programming Sub-problem of Transformer Design Optimization. Collaboration in a Hyperconnected World. 2017; ():373-381.
Chicago/Turabian StyleTamás Orosz; Tamás Nagy; Zoltán Ádám Tamus. 2017. "A Generalized Geometric Programming Sub-problem of Transformer Design Optimization." Collaboration in a Hyperconnected World , no. : 373-381.
Large power transformers are regarded as crucial and expensive assets in power systems. Due to the competing global market, to make a good and competing power transformer design, a non-linear optimization problem should be solved in a very short time in the preliminary design stage. The paper shows and compares the performance of four different methods to solve this problem for three phase core type power transformers. The first algorithm is a novel meta-heuristic technique which combines the geometric programming with the method of branch and bound. Then this conventional multi design method is solved by a simple iterative technique and two novel evolutionary algorithms to enhance the convergence speed. One of these algorithms is the particle swarm optimization technique which is used by many other researchers and the grey wolf optimization algorithm which is a new method in this optimization sub-problem. An example design on an 80 MVA, three phase core type power transformer using these four methods is presented and its performances are analyzed. The results demonstrate that the grey wolf optimization is a good alternative for this optimization problem.
Tamás Orosz; Bence Borbély; Zoltán Ádám Tamus. Performance Comparison of Multi Design Method and Meta-Heuristic Methods for Optimal Preliminary Design of Core-Form Power Transformers. Periodica Polytechnica Electrical Engineering and Computer Science 2017, 61, 69 -76.
AMA StyleTamás Orosz, Bence Borbély, Zoltán Ádám Tamus. Performance Comparison of Multi Design Method and Meta-Heuristic Methods for Optimal Preliminary Design of Core-Form Power Transformers. Periodica Polytechnica Electrical Engineering and Computer Science. 2017; 61 (1):69-76.
Chicago/Turabian StyleTamás Orosz; Bence Borbély; Zoltán Ádám Tamus. 2017. "Performance Comparison of Multi Design Method and Meta-Heuristic Methods for Optimal Preliminary Design of Core-Form Power Transformers." Periodica Polytechnica Electrical Engineering and Computer Science 61, no. 1: 69-76.
The first step in the transformer design process is to find the active part’s key design parameters. This is a non-linear mathematical optimisation task, which becomes more complex if the economic conditions are considered by the capitalisation of the losses. Geometric programming combined with the method of branch and bound can be an effective and accurate tool for this task even in the case of core-form power transformers, when formulating the short-circuit impedance in the required form is problematic. Most of the preliminary design methods consider only the active part of the transformer and the capitalised costs in order to determine the optimal key design parameters. In this paper, an extension of this meta-heuristic transformer optimisation model, which takes the cost of the insulating oil and the cooling equipment into consideration, is presented. Moreover, the impact of the new variables on the optimal key design parameters of a transformer design is examined and compared with the previous algorithm in two different economic scenarios. Significant difference can be found between the optimal set of key-design parameters if these new factors are considered.
Tamás Orosz; Zoltán Ádám Tamus. Impact of the Cooling Equipment on the Key Design Parameters of a Core–Form Power Transformer. Journal of Electrical Engineering 2016, 67, 399 -406.
AMA StyleTamás Orosz, Zoltán Ádám Tamus. Impact of the Cooling Equipment on the Key Design Parameters of a Core–Form Power Transformer. Journal of Electrical Engineering. 2016; 67 (6):399-406.
Chicago/Turabian StyleTamás Orosz; Zoltán Ádám Tamus. 2016. "Impact of the Cooling Equipment on the Key Design Parameters of a Core–Form Power Transformer." Journal of Electrical Engineering 67, no. 6: 399-406.
The temperature rise calculation of core-type power transformers is an essential question in the design process however this is neglected during the preliminary optimization process. The methods of the calcula- tion methods are classified and introduced shortly and they applicability is examined for the preliminary design process. For comparison of the methods performance, two core arrangements were examined, the Roth’s transformer and a 50 MVA three-phase transformers’ core. The result shows that the FEM method provides the most accurate solution however according to its simplicity, the Ryder’s method has better performance in the preliminary design stage.
Tamás Orosz; Gábor Kleizer; Tamás Iváncsy; Zoltán Ádám Tamus. Comparison of Methods for Calculation of Core-Form Power Transformer’s Core Temperature Rise. Periodica Polytechnica Electrical Engineering and Computer Science 2016, 60, 88 -95.
AMA StyleTamás Orosz, Gábor Kleizer, Tamás Iváncsy, Zoltán Ádám Tamus. Comparison of Methods for Calculation of Core-Form Power Transformer’s Core Temperature Rise. Periodica Polytechnica Electrical Engineering and Computer Science. 2016; 60 (2):88-95.
Chicago/Turabian StyleTamás Orosz; Gábor Kleizer; Tamás Iváncsy; Zoltán Ádám Tamus. 2016. "Comparison of Methods for Calculation of Core-Form Power Transformer’s Core Temperature Rise." Periodica Polytechnica Electrical Engineering and Computer Science 60, no. 2: 88-95.
Because of the strong competition in the equipment market, the aim of the manufacturers is to reduce the product price as much as possible, fulfill the high-quality standards, and improve the reliability and efficiency of the transformers. The capitalization of the costs enables to handle the different economic and technological parameters together in the same cost function. Large power autotransformers are usually designed for specific economic and technical conditions specified by the customer. At the tender design stage, the most economical solution has to be found in a limited time, and a great number of feasible transformer designs have to be compared to find the optimal solution. Nowadays, the solution of this design process is mainly based on the experience of the transformer designer, but mathematical programming models can facilitate the process. It is well known that the design of shell-type power transformers can be optimized by geometric programming. The constructed models of geometric programming can be solved accurately with the interior-point-method-based solvers. According to the results, this kind of modeling is not applicable for the core-form transformers. However, with branch-and-bound search, the geometric programming method can also be used for these cases. This paper introduces a new algorithm, which can also handle the autotransformer designs with different positions of the regulating winding by applying a more general metaheuristic routine to perform the calculation of the short-circuit impedance.
Tamas Orosz; Adam Sleisz; Zoltan Adam Tamus. Metaheuristic Optimization Preliminary Design Process of Core-Form Autotransformers. IEEE Transactions on Magnetics 2015, 52, 1 -10.
AMA StyleTamas Orosz, Adam Sleisz, Zoltan Adam Tamus. Metaheuristic Optimization Preliminary Design Process of Core-Form Autotransformers. IEEE Transactions on Magnetics. 2015; 52 (4):1-10.
Chicago/Turabian StyleTamas Orosz; Adam Sleisz; Zoltan Adam Tamus. 2015. "Metaheuristic Optimization Preliminary Design Process of Core-Form Autotransformers." IEEE Transactions on Magnetics 52, no. 4: 1-10.
Z Á Tamus; T Orosz; G M Kiss. Modelling material dependent parameters of layer type straight coils for fast transient pulses. Journal of Physics: Conference Series 2015, 646, 012048 .
AMA StyleZ Á Tamus, T Orosz, G M Kiss. Modelling material dependent parameters of layer type straight coils for fast transient pulses. Journal of Physics: Conference Series. 2015; 646 ():012048.
Chicago/Turabian StyleZ Á Tamus; T Orosz; G M Kiss. 2015. "Modelling material dependent parameters of layer type straight coils for fast transient pulses." Journal of Physics: Conference Series 646, no. : 012048.