Similarity Criteria Research Articles

Signature of transition in granular flow through apertures

We employ computations to examine transition in granular flow, right above an aperture, in a silo draining under gravity. We show that the energy dissipation rate exhibits a well-defined peak near the aperture. Tracing locations of maximum dissipation rate describes an arch, signifying flow transition. We present a correlation between the transition boundary and outlet using the arguments of self-similarity and geometric similarity, suggesting the spatial non-monotonicity of the dissipation rate to be a signature of flow transition. Utilizing the aforementioned similarity criteria, we also explore the kinetic pressure as a marker of transition in granular flow.

Разработка общего критериального уравнения расчета теплоотдачи к углеводородным и неуглеводородным средам при их естественной конвекции в условиях локального осадкообразования

The paper presents a new general criterion equation for calculating heat transfer under conditions of natural convection of the hydrocarbon and non-hydrocarbon media with local deposit formation on the heat exchange surface. Information sources on the research topic were analyzed. Examples of deposits in certain power plants and jet engines are provided. Main factors influencing the carbon-containing deposits on the heated walls of the fuel and coolant supply channels are considered. The new equation for calculating heat transfer was obtained based on a new deposit formation similarity criterion created by the author of this article, which simultaneously takes into account both the thermal and electrochemical nature of this process. Values of the new electrochemical numbers used in the calculation and included in the deposit formation similarity criterion were found for the carbon-containing deposits in the kerosene media and for the salt deposits (NaCl salt). Results of the experimental studies were generalized in the TS-1 kerosene media, salt solution and air with local deposit formation on the heat exchange surface. Some generalization results are presented in the corresponding graphs.

A Correction Method for the Effects of Reynolds Number, Roughness, and Tip Clearance on Geometric Scaling of Axial Compressors

Abstract The geometric scaling method is often used in the design and development of axial compressors to reduce high costs. However, Reynolds number, surface roughness, and tip clearance are often difficult to satisfy all the similarity criteria, which breaks the similarity between the Prototype and the Model compressor. This study utilized a 1.5-stage axial compressor as the Prototype to investigate the effects of Reynolds number, surface roughness, and tip clearance on the geometric scaling process. First, the 0.5 scale Model compressor was simulated using RANS method with the scalable wall function. A test facility was constructed for the 0.5 scale Model compressor, and experiments of varying surface roughness and tip clearance were carried out to verify the reliability of the numerical method. Then, the Prototype and Models with scaling factors of 0.4 and 0.33 were simulated using the same numerical method. By analyzing the numerical results of the Prototype and the three Models, a novel correction method for the deviation between the performance of the Prototype and the Model was proposed. This method can be used to correct the deviation of compressors' performance curves caused by the change in Reynolds number, surface roughness, and tip clearance during the geometric scaling process. Meanwhile, both numerical and experimental results were used to validate the accuracy and the universal applicability of the method.

Mortality risk factors for tuberculosis patients under treatment in the Kenya health zone, Lubumbashi, DRC

Context and objective of the study: Tuberculosis remains a major public health problem in the world and in the DRC in particular. Tuberculosis lethality is an important indicator of its control. The objectives of this study were to determine the lethality rate of tuberculosis and to identify the risk factors for death in tuberculosis patients. under treatment in Kenya Health Zone. Methods: This is a case-control study from January 1, 2014 to December 31, 2016. The characteristics of patients aged at least 15 years and who died of tuberculosis during treatment were compared to those who had progressed well. We have exhaustively collected 59 deceased (Cases). The 177 controls were selected according to certain criteria of similarity among tuberculosis patients over 14 years of age who had progressed well. Chi-square tests, Fisher Exact, Wilcoxon, OR and its 95% CI as well as logistic regression were used to analyze our results. For all statistical tests, the significance level was set at 5%. Results: From 2014 to 2016, the rate of overall lethality was3.34% with a decreasing trend. Ihe socio-demographic and anthropometric characteristics: Follow-up care at CST Kalebuka [ORa1.33 (<0.001 - >1000.00), p=0.99],weight loss between the 1st and 2nd phase of treatment [ORa0.94, CI (0.018 - 48.48), p=0.97];clinical and therapeutic characteristics: The concept of counting [ORa1.68, CI (<0.001 - >1000.00), p=0.98],the therapeutic diet2SRHZE/RHZE/5RHE » [ORa>1000.00, CI (<0.001 - >1000.00), p=0.59], irregular compliance with treatment [ORa6.54, CI (<0.001 - >1000.00), p=0.95] did not were not significantly associated with tuberculosis mortality after logistic regression, and therefore constituted confounding factors Conclusion: The decrease in lethality observed during the 3 years reflects a good evolution of the fight. Aprospective study investigating tuberculosis mortality taking into account all possible determinants and aspects will make it possible to identify the factors significantly linked to death and develop additional treatment and follow-up strategiesto further reduce lethality due to tuberculosis.

The potential GHGs reduction of co-processing aviation biofuel in life cycle

The challenge of drop-in jet biofuel should couple the reduction of GHGs emission in whole life cycle with economic competitiveness and achieving performance without reducing performance of engine and aircraft. Co-processing was recognized a promising solution due to availability of existing refining infrastructure and facilities. Based on the LCA approach, the quantitative LCA assessment model (AF-3E) has been established for discovering potential GHGs reduction by co-processing. Typical representatives of oily feedstock, including used cooking oil, soybean, rapeseed, peanut, corn oil, Xanthoceras sorbifolia, jatropha and algae, were compared co-processing with HEFA-SPK blend on GHGs and energy consumption in the whole life. Computational framework is integrated into 3 sub-models and 4 modules, which include feedstocks model, fuel model, flight model and electricity module, hydrogen module, methanol module, hexane module. In flight model, the emissions were investigated at LTO condition and cruise condition and transfer to six types of typical aircraft widely used by similarity criterion. Co-processing achieve less energy consumption and GHGs emission than HEFA-SPK blend, which is attributed to less energy consumption in fuel stage. Used cooking oil conducts 8.17% GHGs reduction in 5% bio-feedstock co-processing and 6.39% in 5% HEFA-SPK jet biofuel blend compared with petroleum-based jet fuel. By sensitivity analysis, the vital factors on GHGs have been extracted in whole life cycle. The purpose of this paper is to discover the advantages and vital factors of co-processing. The results would enhance the interests in both LCA and co-processing for sustainable aviation biofuel.Graphical

Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting

Short-term load forecasting (STLF) plays an important role in facilitating efficient and reliable operations of power systems and optimizing energy planning in the electricity market. To improve the accuracy of power load prediction, an adaptive clustering long short-term memory network is proposed to effectively combine the clustering process and prediction process. More specifically, the clustering process adopts the maximum deviation similarity criterion clustering algorithm (MDSC) as the clustering framework. A bee-foraging learning particle swarm optimization is further applied to realize the adaptive optimization of its hyperparameters. The prediction process consists of three parts: (i) a 9-dimensional load feature vector is proposed as the classification feature of SVM to obtain the load similarity cluster of the predicted days; (ii) the same kind of data are used as the training data of long short-term memory network; (iii) the trained network is used to predict the power load curve of the predicted day. Finally, experimental results are presented to show that the proposed scheme achieves an advantage in the prediction accuracy, where the mean absolute percentage error between predicted value and real value is only 8.05% for the first day.

Demonstration of Physicochemical and Functional Similarity of Biosimilar Adalimumab-aqvh to Adalimumab.

Adalimumab-aqvh/CHS-1420 (YUSIMRYTM) (hereafter referred to as adalimumab-aqvh) was recently approved by the US Food and Drug Administration as a biosimilar for adalimumab. The current study was conducted to investigate the analytical similarity of adalimumab-aqvh and the reference product, adalimumab. The structural, functional, and stability attributes of adalimumab-aqvh and adalimumab were compared using state-of-the-art assays. The primary structure, disulfide structure, glycan profile, secondary and tertiary structures, molar mass, size variants, free thiol, charge variants, hydrophobic variants, post-translational modifications, subvisible particles, host cell proteins, and protein concentration were investigated. The functional similarity between adalimumab-aqvh and adalimumab was demonstrated by comparing fragment antigen-binding (Fab)-associated and fragment crystallizable(Fc)-associated biological activities. The stability of adalimumab-aqvh and of adalimumab was compared through forced degradation. The structural attributes of adalimumab-aqvh were identical to those of adalimumab or met the similarity criteria, with a few exceptions. Adalimumab-aqvh and adalimumab exhibited comparable stability profiles and functional activities. Any observed differences in the physiochemical attributes did not impact the conclusion of similarity because they did not influence any functional activities related to the adalimumab mechanism of action. The structural, functional, and stability data provide convincing evidence of biosimilarity between adalimumab-aqvh and the reference product, adalimumab.

A progressive data assimilation strategy in full-waveform adjoint tomography

Elastic full-waveform inversion (FWI) is powerful in resolving fine-scale structures in complex models, but suffering from strong nonlinearity and slow convergence rate, especially in the presence of cycle-skipping issues when the initial model is not well constrained. We present a progressive data assimilation (PDA) strategy to mitigate the cycle-skipping issue and boost the convergence rate. Specifically, we split each seismogram into several time windows with a constant length after the first arrival. At each iteration, the PDA strategy automatically screens the windows that are not cycle skipped for inversion according to the criteria of similarity measured between the observed and predicted waveform within a given window. Through the iterations, the model improves and more data will automatically be assimilated into the inversion, forming a positive feedback of model update, and speed up the convergence rate. To provide additional constraints and also stabilise the inversion at the beginning, we include low-frequency surface waves and examine their contribution to the inversion. We validate the effectiveness of the PDA strategy in FWI through numerical experiments using the 1D linear gradient velocity model and the Foothill model. Compared with the conventional FWI strategy, the proposed PDA strategy in an elastic FWI can effectively mitigate the cycle-skipping problem and significantly accelerate the convergence rate. We further apply this method to the field data, and it improves the shallow part of the model with only a fraction of the entire dataset, demonstrating the great potential for practical usage.

Experimental study on equilibrium initiation and extension of multiple clusters of fractures based on true triaxial physical simulation

In the context of tight sandstone reservoirs in the Ordos Basin characterized by compact and heterogeneous rock formations, conventional fracturing techniques yield monolithic fracture shapes, rendering 3D reservoir reconstruction unattainable. This study investigates the principles governing balanced initiation and propagation of fractures in multi-cluster fracturing within unconventional fracturing technology. Employing a large-scale true triaxial simulation experiment system, we utilize the dimensional analysis method (π theorem) to design a physical simulation experiment similarity criterion. Through various experimental adjustments involving proportioning, curing, and mechanical testing, we generate an artificially cured rock mass with mechanical parameters akin to the target layer. The rock mass is maintained at a size of 30 cm × 30 cm × 30 cm. Systematic physical simulation experiments on unconventional volume fracturing are carried out using the 30 cm-sized dense sandstone outcrop rock mass. Taking the conventional fracturing technology as a reference and manipulating experimental conditions and design parameters, we simulate the non-equilibrium initiation and extension behaviors of fracturing fractures under five unconventional volume fracturing technologies, namely hydraulic pulse pretreatment, temporary plugging between clusters, flow-limiting method, cyclic loading and unloading, and pulse intermittent fracturing. Through this, we elucidate the non-equilibrium initiation and extension laws governing multi-cluster fractures. Comparative analysis with conventional fracturing, known for inducing stress interference on fractures and inhibiting their expansion, revels that the five unconventional volume fracturing techniques mitigate stress interference in multi-cluster fracturing. This promotes uniform fracture initiation and expansion, facilitating the creation of complex fractures and larger reconstructed volumes. Among these techniques, inter-cluster block fracturing stands out for its exceptional ability to generate complex fracture networks. The research culminates in the development and refinement of a balanced fracture and extension control technique tailored for multiple cluster fractures in bulk fracturing. This technique significantly contributes to enhancing the degree of 3D reconstruction achievable in unconventional tight oil and gas reservoirs.

ON INFLUENCE OF PHYSICAL AND CHEMICAL MODIFICATION OF WETTABILITY OF FILTRATION SURFACE ON INTERCHANGEABILITY OF IMMISCIBLE FLUIDS IN RESERVOIR FORMATIONS

The article presents and discusses the results of experimental studies of the processes of mutual substitution (displacement) of immiscible fluids, proceeding by the mechanism of impregnation and drainage in layered-heterogeneous reservoirs with hydrodynamically connected and separated interlayers.
 Physical modeling of filtration processes, taking into account the similarity criteria, made it possible to establish that during the mutual substitution of immiscible fluids at the phase boundary and lithological differences, nonequilibrium capillary phenomena develop, which, through the action of capillary forces, significantly affect fluid filtration and saturation distribution in an inhomogeneous porous medium. In order to eliminate the influence of the viscous instability factor on the motion of the displacement front, the processes of displacement of a less viscous fluid by a more viscous one were studied.
 It has been established that non-equilibrium capillary phenomena manifest themselves most intensively in reservoirs with a heterophilic surface, where capillary forces can initiate or block fluid flows between differently permeable interlayers. It has been experimentally shown that in layered-heterogeneous reservoirs with a heterophilic filtration surface in the interlayers, capillary phenomena largely determine the nature of the movement of the fluid displacement front (from the almost complete suppression of the “run-up” of the displacement fronts in the interlayers to the formation of an advanced front in the low-permeability interlayer). In order to exclude the influence of errors of a systematic or random nature on the results of the experiments, their reproducibility and the significance of differences were assessed using the statistical criteria of Student and Cochran, which showed the reliability of the above conclusions.
 The results obtained indicate the dominant effect of crossflows between interlayers on the formation of the displacement front of immiscible fluids in layered-heterogeneous reservoirs, especially with a heterophilic wettability characteristic, as well as the possibility of controlling this process by means of physicochemical modification of the wettability conditions of the filtration surface, for example, using surface active substances (surfactants) of various nature and structure.

Intersecting of circular apertures to measure integer and fractional topological charge of vortex beams.

Diffraction patterns of optical vortex beams (VBs) by differently shaped apertures are used to determine their topological charge (TC). In this paper, we show by simulations and experiments that diffraction of a Laguerre-Gaussian (LG) beam by intersecting circular apertures can be used to reveal the TC. The presented aperture structure has the advantage of the measurement of fractional TC in addition to the integer, sensitivity to the sign of TC, and low sensitivity to adjusting apertures. Accordingly, in addition to the integer TC up to 8, the fractional TC is measured with a step of 0.1 by two intersecting circular apertures (TICA). By examining a wide range of similarity criteria between the diffraction pattern of the fractional TC and the pattern of the lower integer TC, three metrics for measuring the fractional TC are found. Furthermore, the determination of integer TC up to 6 for three intersecting circular apertures (THICA) is demonstrated.

A personalized stepwise dynamic predictive algorithm of the time to first treatment in chronic lymphocytic leukemia

Personalized prediction is ideal in chronic lymphocytic leukemia (CLL). Although refined models have been developed, stratifying patients in risk groups, it is required to accommodate time-dependent information of patients, to address the clinical heterogeneity observed within these groups. In this direction, this study proposes a personalized stepwise dynamic predictive algorithm (PSDPA) for the time-to-first-treatment of the individual patient. The PSDPA introduces a personalized Score, reflecting the evolution in the patient's follow-up, employed to develop a reference pool of patients. Score evolution's similarity is used to predict, at a selected time point, the time-to-first-treatment for a new patient. Additional patient's biological information may be utilized. The algorithm was applied to 20 CLL patients, indicating that stricter assessment criteria for the Score evolution's similarity, and biological similarity exploitation, may improve prediction. The PSDPA capitalizes on both the follow-up and the biological background of the individual patient, dynamically promoting personalized prediction in CLL.

Identifying parent bodies of meteorites among near-Earth asteroids

ABSTRACT Meteorites provide an important source of information about the formation and composition of asteroids, because the level of accuracy of studies and analyses performed in a laboratory cannot be achieved by any ground- or space-based observation. To better understand what asteroid types a meteorite represents, it is crucial to identify the body they originated from. In this paper, we aim to determine possible parent bodies for the known meteorite falls among the known population of near-Earth asteroids (NEAs). By using the similarity criterion DN, based on geocentric quantities, we found 20 possible NEA–meteorite pairs. By performing additional numerical simulations of the backward dynamics, we found that 12 of these pairs may be associated with a possible separation event from the progenitor NEA, while the remaining 8 pairs appear to be ambiguous or random associations. The most interesting are the Pribram and Neuschwanstein meteorites, which are dynamically associated with (482488) 2012 SW20 with a common separation age dating back to about 20–30 kyr ago, and the Motopi Pan meteorite, which has three candidate parent bodies: (454100) 2013 BO73, 2017 MC3, and 2009 FZ4. The average time of separation between our meteorite list and the progenitor body appears to be about 10 kyr, a time consistent with what is expected from the collision frequency of small NEAs. Based on our results, we suggest that about 25 per cent of meteorites do not originate in the main belt, but mainly from little collision events happening between NEAs in the inner Solar system.

Monte Carlo simulation of the maximum migration distance of CO[formula omitted] in a sloping aquifer

Carbon capture and storage in saline aquifers is broadly considered a viable technology for reducing anthropogenic impact on the environment. However, a secure CO2 storage can be compromised by the depositional environments of target reservoirs, which can influence the CO2 migration in subsurface. The disposal of CO2 in a sloping aquifer can result in a substantial gas migration in the updip direction from the injection well until all gas becomes trapped. It thus can reach far more than desired regions from the well where the potential leakage paths to the surface can exist. This study aims at understanding the principal parameters that the maximum migration distance in the updip direction depends on, which can be important for estimating the risks of CO2 leakage through old abandoned wells in the regions of intensive subsurface exploration. Using the Monte Carlo method, an extended parametric study is performed by running 3-D reservoir simulations of CO2 storage in random aquifers characterized by various petrophysical and thermobaric parameters, saturation functions and brine salinity, and for the wells operated under different target rates. Herewith, the modeling accounts for such relevant physical phenomena as the phase transitions, the gravity and capillary forces, the hysteresis behavior of the relative permeability, etc. It is shown that the maximum migration distance at the post-injection stage is characterized by just two similarity criteria and the critical gas saturation for the drainage and imbibition processes. It is found that the CO2 plume shape at the moment of the well shut-in influences the subsequent gas transport. A new simple relation parameterizing the revealed dependence is proposed and validated against the sampled maximum migration distances. The relation is useful for an instant estimating the size of the contaminated zone around a projected CO2 well and for ranking the potential storage sites.

Repurposing Anti-Dengue Compounds against Monkeypox Virus Targeting Core Cysteine Protease.

The monkeypox virus (MPXV) is an enveloped, double-stranded DNA virus belonging to the genus Orthopox viruses. In recent years, the virus has spread to countries where it was previously unknown, turning it into a worldwide emergency for public health. This study employs a structural-based drug design approach to identify potential inhibitors for the core cysteine proteinase of MPXV. During the simulations, the study identified two potential inhibitors, compound CHEMBL32926 and compound CHEMBL4861364, demonstrating strong binding affinities and drug-like properties. Their docking scores with the target protein were -10.7 and -10.9 kcal/mol, respectively. This study used ensemble-based protein-ligand docking to account for the binding site conformation variability. By examining how the identified inhibitors interact with the protein, this research sheds light on the workings of the inhibitors' mechanisms of action. Molecular dynamic simulations of protein-ligand complexes showed fluctuations from the initial docked pose, but they confirmed their binding throughout the simulation. The MMGBSA binding free energy calculations for CHEMBL32926 showed a binding free energy range of (-9.25 to -9.65) kcal/mol, while CHEMBL4861364 exhibited a range of (-41.66 to -31.47) kcal/mol. Later, analogues were searched for these compounds with 70% similarity criteria, and their IC50 was predicted using pre-trained machine learning models. This resulted in identifying two similar compounds for each hit with comparable binding affinity for cysteine proteinase. This study's structure-based drug design approach provides a promising strategy for identifying new drugs for treating MPXV infections.

Building alternative splicing and evolution-aware sequence-structure maps for protein repeats

Alternative splicing of repeats in proteins provides a mechanism for rewiring and fine-tuning protein interaction networks. In this work, we developed a robust and versatile method, ASPRING, to identify alternatively spliced protein repeats from gene annotations. ASPRING leverages evolutionary meaningful alternative splicing-aware hierarchical graphs to provide maps between protein repeats sequences and 3D structures. We re-think the definition of repeats by explicitly accounting for transcript diversity across several genes/species. Using a stringent sequence-based similarity criterion, we detected over 5,000 evolutionary conserved repeats by screening virtually all human protein-coding genes and their orthologs across a dozen species. Through a joint analysis of their sequences and structures, we extracted specificity-determining sequence signatures and assessed their implication in experimentally resolved and modelled protein interactions. Our findings demonstrate the widespread alternative usage of protein repeats in modulating protein interactions and open avenues for targeting repeat-mediated interactions.

Совершенствование проточной части десендеров циклонного типа с использованием мультифазного коэффициента относительной скорости движения дискретных частиц

In the oil producing wells with high content of mechanical impurities and free gas, efficiency of the electric centrifugal pump is increased by installing the cyclone-type desenders at its inlet. Desender protects the submersed pump from mechanical impurities entering it by separation and collecting them in a special container. At the same time, the problem of free gas bubbles enlargement is being solved to facilitate their separation into the annulus and thus reduce the free gas content at the pump inlet. Analysis was made of specifics of the formation fluid flow containing mechanical impurities and free gas in the flow path of a cyclone-type separator with the fixed screw. Expressions were derived to determine the dimensionless multiphase coefficient of the discrete particles relative separation rate and of the multiphase similarity criterion. They allow evaluating efficiency of the mechanical impurity separators and developing new highly efficient structures based on the previously created ones. Recommendations are provided for development of the new highly efficient structures.

TECHNOLOGY FOR IDENTIFYING AND FORMING POSSIBLE RELATIONSHIPS BETWEEN USE CASES IN THE PROCESS OF THE INFORMATION SYSTEM DESIGN

Context. Use cases are widely used as a means of formulating requirements in the development of information systems. All subsequent design stages depend on the quality of their presentation. Structuring use cases can significantly increase their understanding and maintenance in the face of changing requirements..
 Objective. Flexible technologies involve working in small teams. The existing communication between teams is not sufficient to highlight sub use cases at the project level. There is a need for automated analysis of the corpus of all use cases.
 Method. A mathematical model of a use case which makes it possible to define the criteria for comparing scenarios and eliminate the redundancy of descriptions is proposed. A four-step method for restructuring use cases has been developed. At the first stage, use cases are presented in a formalized form. At the second, they are stored in the repository, which ensures their quick search and placement. At the third stage, procedures of scenario comparison are performed. Scenario similarity criteria are proposed. At the fourth stage, the formation of subordinate use cases is carried out, their texts are coordinated with all interested teams, and the use cases that cause subordinate use cases are corrected.
 Results. Experiments providing the formalized compilation of use cases by several development teams followed by automated restructuring were carried out to test the proposed solutions. As a result, new subordinate use cases were correctly identified and the scope of use of previously formed ones was expanded. There was a significant reduction in the time for restructuring.
 Conclusions. The proposed method of restructuring use cases improves the clarity and consistency of requirements, the possibility of their adjustment and maintenance, and reduces the compilation time. The method can be used in the design of any information system, where the requirements are presented in the form of use cases.

Building a model of the impact grinding mechanism in a tumbling mill based on data visualization

A mathematical model was built based on data visualization for the impact grinding mechanism in a tumbling mill, which is mainly implemented during coarse grinding. The determination of impulse interaction parameters is problematic due to the difficulty of modeling and the complexity of hardware analysis of the behavior of intramill loading. Conceptually, it was envisaged to identify the relative dynamic parameters of the impact action as components of the model, which are criteria for the similarity of the loading movement and the grinding process. Impact power was taken as an analog of grinding performance. The initial characteristic of the impact was considered to be the averaged vertical component of the speed of loading movement in the flight zone at the boundary of contact with the shear layer. The formalization of the model revealed the effect on the performance of the mass fraction of the flight zone and the reversibility of loading. The method of numerical modeling was applied, based on experimental visualization of the behavior of granular loading in the cross section of a rotating chamber. The influence of the rotation speed on the performance at a chamber filling degree of 0.45 and a relative particle size of a milling load of 0.0104 was estimated by experimental simulation. The maximum productivity value was found at the relative speed of rotation ψω=1–1.05. A rational condition for impact grinding at ψω=0.75–0.9 has been established. The test proved the effectiveness of using visualization to evaluate dynamic loading interaction analogs. Verification of modeling results was implemented by comparison with the data of the technical standard. The use of similarity criteria unifies approaches to modeling different mechanisms of destruction. The model built makes it possible to predict the rational parameters of the grinding processes by impact, crushing, and abrasion

Vibration Scale Model of a Converter Transformer Based on the Finite Element and Similarity Principle and Its Preparation

A similarity criterion suitable for studying the vibration characteristics of converter transformers is proposed based on comprehensive consideration of geometric dimensions, electric field, magnetic field, force field, sound field, and coupling field interface interactions. By comparing the magnetic field, stress, displacement, sound field distribution, and vibration characteristics of the scale model of the converter transformer with the initial model, the reliability of the similarity criterion was determined. Based on the vibration similarity criterion of the converter transformer, a prototype of the proportional model was designed and manufactured, and vibration signals under no-load and load conditions were tested. These signals correspond to the vibration signals of the iron core and winding in the finite element model, respectively. Through comparative analysis, the reliability of the prototype and the vibration similarity model of the converter transformer has been proven, which can provide an accurate and effective laboratory research platform for in-depth research on the vibration and noise of the converter transformer and equipment protection.