Typical Station Research Articles

Model test study on the mechanical characteristics of shallowly buried covered excavation PBA station construction

The shallowly buried covered excavation PBA method is one of the new construction methods that has attracted widespread attention in the past 20 years. Understanding the deformation of strata and supporting structures is key to ensuring the safe construction of PBA stations at present. Relying on the Beijing Line 12 Beitaipingzhuang PBA subway station and based on the 1:40 model test, the production of similar materials for the model and the station excavation construction plan are introduced. According to the actual construction process of the station, the construction process of the two stations of the pile foundation and strip foundation stations are more realistic. The variations in the strata around the station and the station structure during the whole construction process are obtained. The test results show that the ground displacement of the station is most affected by the excavation of the pilot tunnel, accounting for more than two-thirds of the total displacement, and the ground within the range of 0–12 m around the station is greatly affected by the excavation disturbance during the actual construction process. By analyzing and comparing the ground displacements and the internal forces of the vertical bearing structure of the two types of stations, it is concluded that the pile foundation method is more advantageous for controlling ground displacement and the internal force of the structure. These test results improve design theory of the PBA method and are conducive to further promotion.

Seismic performance of near-fault girder bridges based on laminated rubber bearings under the impact of sequential earthquakes

Strong aftershocks frequently follow near-fault earthquakes, exacerbating the damage to bridges already impacted by the main shock. However, current seismic design codes worldwide overlook the adverse effects of aftershocks on near-fault bridges. Therefore, it is imperative to conduct research on the seismic performance of near-fault girder bridges under sequential earthquakes. This study proposes a seismic isolation design for near-fault girder bridges subjected to sequential earthquakes, utilizing laminated rubber bearings, sacrificial shear keys, and cable-type unseating prevention devices. Seismic ground motion records from typical stations during the Turkey-Syria earthquakes were collected to assess the seismic safety of bridges. Nonlinear time-history analysis systematically investigated the seismic displacements of the laminated rubber bearings and girder, as well as the seismic damage of shear keys and pier. The results show that the lateral displacement of the girder induced by the sequential earthquake was approximately 1.5 times greater than that caused by a single main shock, while the longitudinal displacement of the girder remained similar. The seismic isolation design proposed in this study not only controlled the relative displacement between the piers and the girder but also effectively protected the pier from severe seismic damage, ensuring the bridge’s functionality after the sequential earthquake.

Passenger flow prediction at rail transit station entrances and exits: A case study of Beijing

Accurate prediction of passenger flow at station entrances and exits is a hot topic in rail transit passenger flow prediction work, and provides important support for the refined and humanized design of stations. This paper comprehensively considers factors such as land use around the station, traffic connection conditions, station attributes and attractiveness, and constructs a two-layer passenger flow prediction model, including traffic zone layer passenger flow prediction based on multivariate nonlinear regression and entrance and exit layer passenger flow prediction based on the CRITIC method. Based on available data, the model first predicts the total passenger flow at all entrances and exits in the traffic zone, and then distributes the total passenger flow to each entrance and exit of the traffic zone. Different types of rail transit stations were randomly selected to verify the effectiveness of the model. The results show that the error between the model prediction value and the actual value of the daily entrance and exit volume is within , and the average error is , which has a high prediction accuracy.

IPA Analysis and optimization of pedestrian environment at railway stations in Guangdong-Hong Kong and Macao: An example of six typical stations

Due to the increasing urbanization and growing regional integration, the Guangdong-Hong Kong-Macao Greater Bay Area is progressively transforming into a globally recognized metropolitan cluster. Rail transit is an effective and eco-friendly kind of public transport that plays a crucial role in fostering regional economic connections and facilitating people's movement. It has become the primary option for inhabitants when it comes to travelling. This study examines the influence of the walking environment's quality on passenger travel experience (the overall satisfaction and comfort felt by passengers when walking in a rail station area), station attractiveness (the degree of attractiveness of a rail station to passengers, which is usually determined by a combination of a number of factors, such as accessibility, safety, and interest of the station area) , and the overall livability of the city (the overall quality of life that a rail station area provides to Residents, including the quality of the environment, infrastructure, public services) . It does so by analyzing the walking environments of six representative rail transit stations in the Guangdong-Hong Kong-Macao Greater Bay Area, using the Walking Demand Hierarchy Theory as a basis. The study employed the IPA model to evaluate 20 crucial characteristics of the pedestrian environment. The findings revealed variations in the performance of different stations with regard to accessibility, safety, identification, functionality, and enjoyment. The differences provide a reference point for further optimizing the pedestrian environment in the Greater Bay Area rail station areas.

PPP time transfer using an adaptive clock constraint model

ABSTRACT In the processing of Precise Point Positioning (PPP) data, the receiver clock is approached with nearly infinite uncertainty, rendering it difficult to fulfill the requirements of high-precision time frequency applications. Therefore, a receiver clock model is essential. In this study, we first analyze the “over-constraint” problem in the existing clock model and subsequently propose a new clock model, called the Adaptive Clock Constraint (ACC) model, which relies on a sliding window to update covariance and frequency characteristics parameters in real-time. To verify the robustness of the ACC model, three experiments were conducted, and the results show that the ACC model not only is suitable for different types of atomic clock stations but also has superior frequency stability and time transfer precision in contrast to the BIPM PPP, the IGS products and White Noise (WN) model results. Using the optical fiber results as a time reference, the STD of the time difference between the ACC model and optical fiber results is 0.13 ns and the frequency stability is 1.28 × 10−16 on average for one week, representing improvements of more than 10% and 15% compared with the BIPM PPP results.

Numerical study on flow field of high-speed train passing through a new type of station

With the growing demand for efficient travel, tunnels are being lengthened and train speeds are being increased. High-speed subway brings new challenges to the flow environment of tunnel. Additionally, the emergence of express trains passing through stations without stopping has an enormous impact on the tunnel's and the station's flow field. This study focuses on a new type of station (NS) with overtaking and avoidance lines, allowing slow trains to stop for passengers to get on and off, while express trains pass through without stopping. The study analyzes pressure variation and wind speed when express trains pass through the NS without stopping. Different train speeds are taken into account. Based on this, the enhancement of station ventilation by utilizing the piston winds generated by express trains passing through NS is investigated. The air exchange effect and energy savings of the NS are explored. The results indicate that enhancing station air exchanges by fully utilizing piston wind saves about 190.68 kWh/day in mechanical ventilation energy consumption. This study contributes to the improvement of subway station construction and the advancement of subway train development. It can offer data assistance and theoretical direction for high-speed train operations.

Simulation and application analysis of a hybrid energy storage station in a new power system

As the proportion of renewable energy infiltrating the power grid increases, suppressing its randomness and volatility, reducing its impact on the safe operation of the power grid, and improving the level of new energy consumption are increasingly important. For these purposes, energy storage stations (ESS) are receiving increasing attention. This article discusses the structure, working principle, and control methods of grid-following and grid-forming energy-storage converters, which are currently commonly used. A simulation analysis was conducted to investigate their dynamic response characteristics. The advantages and disadvantages of two types of energy storage power stations are discussed, and a configuration strategy for hybrid ESS is proposed. This paper presents research on and a simulation analysis of grid- forming and grid-following hybrid energy storage systems considering two types of energy storage according to different capacity scenarios. Finally, a comparative analysis between the systems is presented. A simulation model was established using PSD-BPA (Power System Department-Bonneville Power Administration) to analyze the impact of the capacity ratio of grid-following and grid-forming ESS on their dynamic response characteristics in a hybrid ESS. In addition, a development direction for future ESSs is indicated.

Cellular automaton model for the analysis of design and plan of bus station in the mixed traffic environment

With the quick development of Connected Autonomous Vehicles (CAVs), CAVs would gradually become an important part of urban traffic. Hence, the impacts of CAVs on urban traffic should be further explored. This study aims to analyze the mixed traffic comprising CAVs and human-driven vehicles (HDVs) in different urban scenarios in which different bus station types (i.e., roadside and bay bus stations) and capacities are considered. To do this analysis, this study proposes a cellular automaton model which simulates car following behaviours of vehicles using a two-state safe speed model, and designs specific modeling rules for lane-changing behaviours and vehicle behaviours near bus stations with consideration of the differences between CAVs and HDVs. The analysis results indicate that the impacts of various bus station types and capacities on the mixed traffic flow vary with traffic volumes, while increasing the CAV penetration rate can reduce the traffic congestion caused by bus stop-and-go. Furthermore, the study explores the optimal number of bus routes for different types of bus stations in different urban traffic scenarios, and several possible policy implications have been given according to the analysis results.

Research on Train-Induced Vibration of High-Speed Railway Station with Different Structural Forms.

Elevated stations are integral components of urban rail transit systems, significantly impacting passengers' travel experience and the operational efficiency of the transportation system. However, current elevated station designs often do not sufficiently consider the structural dynamic response under various operating conditions. This oversight can limit the operational efficiency of the stations and pose potential safety hazards. Addressing this issue, this study establishes a vehicle-bridge-station spatial coupling vibration simulation model utilizing the self-developed software GSAP V1.0, focusing on integrated station-bridge and combined station-bridge elevated station designs. The simulation results are meticulously compared with field data to ensure the fidelity of the model. Analyzing the dynamic response of the station in relation to train parameters reveals significant insights. Notably, under similar travel conditions, integrated stations exhibit lower vertical acceleration in the rail-bearing layer compared to combined stations, while the vertical acceleration patterns at the platform and hall layers demonstrate contrasting behaviors. At lower speeds, the vertical acceleration at the station concourse level is comparable for both station types, yet integrated stations exhibit notably higher platform-level acceleration. Conversely, under high-speed conditions, integrated stations show increased vertical acceleration at the platform and hall levels compared to combined stations, particularly under unloaded double-line working conditions, indicating a superior dynamic performance of combined stations in complex operational scenarios. However, challenges such as increased station height due to bridge box girder maintenance, track layer waterproofing, and track girder support maintenance exist for combined stations, warranting comprehensive evaluation for station selection. Further analysis of integrated station-bridge structures reveals that adjustments in the floor slab thickness at the rail-bearing and platform levels significantly reduce dynamic responses, whereas increasing the rail beam height notably diminishes displacement responses. Conversely, alterations in the waiting hall floor slab thickness and frame column cross-sections exhibit a minimal impact on the station dynamics. Overall, optimizing structural dimensions can effectively mitigate dynamic responses, offering valuable insights for station design and operation.

Hybrid Control Strategy for 5G Base Station Virtual Battery-Assisted Power Grid Peak Shaving

With the rapid development of the digital new infrastructure industry, the energy demand for communication base stations in smart grid systems is escalating daily. The country is vigorously promoting the communication energy storage industry. However, the energy storage capacity of base stations is limited and widely distributed, making it difficult to effectively participate in power grid auxiliary services by only implementing the centralized control of base stations. Aiming at this issue, an interactive hybrid control mode between energy storage and the power system under the base station sleep control strategy is delved into in this paper. Grounded in the spatiotemporal traits of chemical energy storage and thermal energy storage, a virtual battery model for base stations is established and the scheduling potential of battery clusters in multiple scenarios is explored. Then, based on the time of use electricity price and user fitness indicators, with the maximum transmission signal and minimum operating cost as objective functions, a decentralized control device is used to locally and quickly regulate the communication system. Furthermore, a multi-objective joint peak shaving model for base stations is established, centrally controlling the energy storage system of the base station through a virtual battery management system. Finally, a simulation analysis was conducted on data from different types of base stations in the region, designing two distinct scheduling schemes for four regional categories. The analysis results demonstrate that the proposed model can effectively reduce the power consumption of base stations while mitigating the fluctuation of the power grid load.

Novel optimized coupled rainfall model simulation based on stepwise decomposition technique.

Precipitation forecasting plays a pivotal role in guiding the effective management of regional water resources and providing crucial warnings for regional droughts and floods. Finding a monthly precipitation simulation model with robust fitting performance is a significant research endeavor in practical precipitation prediction. This paper introduces two modified African vulture optimization algorithms (MAVOA1 and MAVOA2). It provides hyperparameter optimization techniques for the least squares support vector machine (LSSVM), long short-term memory neural network (LSTM), and random forest (RF) models. These techniques are used to construct a monthly precipitation simulation model based on algorithmic optimization coupled with variational mode decomposition for full decomposition. The test results at five typical stations in the North China Plain reveal the following: (1) the LSSVM model demonstrates significantly better performance than the LSTM and RF models. (2) the MAVOA2-LSSVM model has the best-integrated effect: the average test fitting error is RMSE = 17.50 mm/month, MRE = 117.25%, NSE = 0.90, which shows its superiority in practical application and can significantly improve the accuracy of precipitation prediction; MAVOA2 is more suitable for machine learning models with more hyperparameters of its own, which provides a reference for hyperparameter optimization algorithms in the other fields.

Metro Stations as Catalysts for Land Use Patterns: Evidence from Wuhan Line 11

Urban rail transit systems significantly influence land use patterns in newly developed areas, yet their impact on spatial organization and functional characteristics remains understudied. This research examines Wuhan Metro Line 11, analyzing land use within an 800 m radius of stations using Point of Interest data, ArcGIS spatial analysis, and locational entropy methods. The study reveals three station types, i.e., single-function, mixed-function, and underdeveloped, each exhibiting distinct spatial differentiation patterns. On this basis, a novel “core-diffusion” model emerges, with the highest density of functional elements observed at approximately 600 m from station centers, challenging conventional proximity assumptions. Three spatial organization modes are identified: single-core independent in two-level axis, single-core continuous in single-level axis, and double-core continuous in two-level axis. These findings contribute to the Transit-Oriented Development literature, offering sustainable insights into optimizing land use around metro stations in rapidly urbanizing contexts. This study also provides a methodological framework applicable to similar urban environments, enhancing the understanding of the complex relationships between metro development and surrounding land use patterns. These results have significant implications for urban planning and policy-making, particularly in emerging economies seeking to balance transit efficiency with sustainable urban growth.

DESIGN CONTROL SYSTEM OF MODULAR PRODUCTION SYSTEM DISTRIBUTION AND PICK AND PLACE STATION

The development of automation in the industry is accelerating rapidly. The presence of automation is a technology that is very helpful in increasing production. Automation cannot be separated from the existence of a control system to regulate or process an instruction or order. The Modular Production System is a station unit consisting of various types of stations that simulate production system designs on a small scale before being realized in real situations. The work process of the Modular Production System is controlled using a PLC. PLC needs to be programmed to manage the work process of the Modular Production System. The programming language commonly used in PLC programming is ladder diagrams. The existence of a control system on the Modular Production System using PLC will make the Modular Production System run automatically. It can communicate with other Modular Production Systems to become more efficient. Therefore this design discusses controlling the Modular Production System using a PLC with a ladder diagram. The distribution stations and pick and place stations are selected for the Modular Production System. With a control system on the Modular Production System distribution station and pick and place station, the Modular Production System can work automatically and communicate with each other between stations. The result of the design is an increase in the efficiency of the system cycle time and process accuracy.

Analysis of Characteristics and Sensitivity of Photochemical Pollution During High Ozone Season in Shanghai from 2016 to 2020

The sensitivity analysis of ozone generation in key ozone-polluted regions and cities is an important basis for the prevention and control of near-surface ozone （O3） pollution. Based on the five-year data of ozone, VOCs, and NOx from three typical stations in Shanghai, namely Dianshan Lake Station （suburban area）, Pudong Station （urban area）, and Xinlian Station （industrial area） from 2016 to 2020, the nonlinear relationship between ozone and precursors （VOCs and NOx） during the high-ozone season in the five years was quantitatively analyzed using an observation model. The results showed that the peak months of near-surface ozone in Shanghai were from April to September during 2016 to 2020, with the highest values appearing from June to August. The volume fraction of VOCs and NO2 concentration had a strong indicative significance for the O3 concentration at Pudong Station. The O3 concentration at Dianshan Lake Station was mainly influenced by regional environment, meteorological factors, and cross-regional transmission. The ozone concentration at Xinlian Station was a combination of environmental background concentration and industrial area photochemical pollution. Pudong Station and Dianshan Lake Station were in the VOCs control zone. Xinlian Station was gradually closer to the NOx control zone from 2016 to 2019, transitioning to the VOCs control zone since 2020. The L·OH of Pudong Station, Dianshan Lake Station, and Xinlian Station were： NOx control area>collaborative control area>VOCs control area.

A novel optimization model for tackling capacity challenges in natural gas gathering systems

In the layout optimization of natural gas gathering pipeline network, a lot of work has been done, but few scholars focus on the capacity optimization of gas gathering station (short for station). The structural relationship parameters of dendritic pipeline network and the flow parameters of pipeline network are complicated, which makes it difficult to establish the model, and at the same time, the existence of nonlinear term causes the difficulty of solving the problem. In the current two stage star-dendritic natural gas gathering pipeline network, pipeline sizes and station capacity are not well taken into account for the optimization of pipeline network layout at the same time. In this paper, a consideration station capacity and pipeline sizes: Two-stage star-dendritic network layout optimization model (SCPSTSDLO-Model) is constructed by integrating the factors of site discrete characteristics, station capacity and pipeline sizes, and considering the hydraulic pressure drop conditions of the network, and a solution framework based on the nonlinear processing is proposed, which can obtain the optimization results of optimal affiliation, station type, station site and pipeline sizes at the same time. Five cases are used to verify the validity and accuracy of the model and algorithm, compare the sensitivity analysis and solution algorithm, compare the hydraulic pressure drop conditions, and analyze the application in different forms of pipeline networks. The results show that the SCPSTSDLO-Model and the solution method established in this paper can obtain the optimal solutions under different topologies according to the application requirements, taking into account the capacity of stations and pipeline sizes.

RESEARCH ON LOGISTIC COSTS IN TRANSPORTATION OF AGRICULTURAL CARGO BY ROAD AND RAIL TRANSPORT MODES

Goal. Starting with the full-scale invasion on February 24, 2022, the aggressor country began to make it difficult to access major ports in southern Ukraine, limiting the importation, transportation, and export of grain. This forced shippers to look for alternative routes for transporting grain to foreign seaports. A large share of the transportation of grain cargo fell on railway transport and on western terminals, which caused long queues at crossing points. Restrictions also affected the capacity of internal railway lines. To restore the transportation of agricultural goods and increase the efficiency of the organization of grain transportation, it is necessary to conduct a study of the logistics costs of road and rail transportation, considering such factors as the type of shipment, the volume of cargo, time costs, the cost of transportation, and the capacity of border crossings and terminals. Method. The research was carried out based on statistical analysis, methods of operational work for calculating the norms of mass and length of route trains, a comprehensive analysis of logistics costs when transporting various types of shipments by rail and road modes of transport, considering the technical equipment of terminals and the capacity of crossing points, the train formation plan (TFP). The results. Based on calculations, the conditional lengths of route trains are determined, with their further bringing them to the current PFP on the railways of Ukraine; the cost of delivery of grain cargoes when transported by rail was calculated for various types of shipments, and a comparison was made with road transport; terms of cargo delivery, main advantages and disadvantages of each type of transportation are determined; analysed and selected the best method of transportation of agricultural cargo, taking into account the weight of the cargo being transported, the time spent on transportation along the tracking routes; a comparison of financial costs per ton of cargo was made; proposed options for increasing the throughput of border railway stations. The work also identifies the busiest terminals that carry out a significant share of cargo processing at border railway stations with a relatively large capacity and technical support for the transhipment of grain depending on the types of shipments, namely: railway stations and their transitions - Chop - Chierna-nad-Tysoy, Mostyska II-Medyka and Izov - Hrebushiv. Practical significance. The obtained results can be applied in decision-making systems for shippers, which will help in choosing the optimal route and type of rolling stock for cargo transportation. The rational choice of types of shipments and transfer stations makes it possible to use technical means for cargo transhipment as effectively as possible, to reduce the waiting time of wagons at border stations while waiting for technological operations and to reduce the time for these operations, to reduce the total costs of transporting agricultural goods. Options for increasing the throughput capacity of border stations will make it possible to speed up the delivery of cargo by speeding up the execution of mandatory operations performed at transhipment points or by removing part of such operations altogether.

Marketing religious programs on television as a nonfavorite program: a study in Indonesia

PurposeThis study aims to examine the strategy of TV9 Nusantara, one of the local televisions in Indonesia, marketing its religious programs when soap operas are the most popular television programs in Indonesia.Design/methodology/approachThis study used a descriptive qualitative method by collecting data using in-depth interviews, observation and documentation.FindingsTV9 Nusantara used a counter-programming strategy to seize viewers from the competing television stations; the prime time is also set differently from other televisions as well as implements a head-sterling strategy to make the audiences loyal to watching TV9 Nusantara programs and not switch the channels.Research limitations/implicationsIn Indonesia, three types of television stations are broadcast nationally, publicly or government-owned, central and regional and local television. This study only focused on local television stations whose main program is religious, especially Islam.Practical implicationsThe results of this study can underline the importance of establishing segmentation, targets, differentiation and market positioning as well as efforts to create products, prices, places and promotions for journalistic products, especially TV broadcast products and production processes that follow Sharia principles.Social implicationsThis study can inform the public regarding TV Broadcasting products and production processes following Sharia principles.Originality/valueThis study examined the implementation of marketing strategies and the marketing mix on local television, especially television that broadcasts programs that are not the favorites of most viewers.

Constructing a Corrected Stations Network Using Some Geomatic Techniques

Abstract The major objective of this study is to establish a network of Ground Control Points-GCPs which can use it as a reference for any engineering project. Total Station (type: Nikon Nivo 5.C), Optical Level and Garmin Navigator GPS were used to perform traversing. Traversing measurement was achieved by using nine points covered the selected area irregularly. Near Civil Engineering Department at Baghdad University Al-jadiriya, an attempt has been made to assess the accuracy of GPS by comparing the data obtained from the Total Station. The average error of this method is 3.326 m with the highest coefficient of determination (R2) is 0.077 m observed in Northing. While in the Easting the average error is 4.634 m with (R2) 0.099 m observed. The average error 5.513 m with (R2) is 0.071 m is observed in Reduced Level. The accuracy assessments of the interpolation methods (Total Station and Level) have been calculated using the average error 0.240 m with (R2) is 0.735 m is observed in Reduced Level. The GIS 10.3 program can automatically transform the saved data to text format and produce digital plans with attribute.

INNOVATIVE TECHNOLOGY FOR THE CONSTRUCTION OF A PYLON STATION OF THE METRO BASED ON THE EXPERIENCE OF USING NATM

Purpose. For quite a long time, the metro station of the pylon type of deep contour interval was considered an underground structure that no longer has development potential. However, after the introduction of innovative technologies during the construction of the Dnipro metro, in particular the New Austrian Tunneling Method (NATM), this design is being used again and has developed further use. The purpose of the scientific article is to analyze innovations in the technology of construction of a three-vaulted pylon metro station from precast reinforced concrete using NATM, which require scientific justification. Methodology. In order to achieve the goal, the traditional technology of constructing a deep contour interval pylon station was revised. An analysis of the features of NATM, which allow it to be used during the construction of a pylon station in strong rock, has been carried out. A step-by-step analysis of the construction of the station was implemented with the involvement of mathematical modeling based on the finite element method. For this purpose, a number of finite-element models of each stage of construction of a pylon-type station have been created. After the numerical analysis, the indicated models were adjusted in accordance with the changes associated with the new construction technology. Findings. The value of the stress-strain state of the pylon station was obtained during the numerical analysis of each stage of construction. Stress analysis proves the possibility of applying innovative construction technology in the case of a pylon station. Originality. On the basis of the performed numerical analysis of the phased construction of a pylon station based on NATM, dependencies were obtained that allow revising the existing concept of the construction of this type of station in strong rocks. The obtained data justify the application of NATM and release the potential of the analyzed underground structure. Practical value. The substantiation of the innovative technology based on NATM allows expanding the scope of its application and successfully carrying out the construction of such complex underground facilities.

Using artificial intelligence methods to recognize radar stations based on the radio technical parameters of signals with filtering signals from radar stations not taken into account in the training set

Currently, the tasks of radio-electronic surveillance using spacecraft are the most relevant in ensuring the defense capability of the Russian Federation. In the course of solving the problem of radio-electronic surveillance, the issue of classifying the detected signals. Classical classification methods, based on comparing the obtained data on detected stations with reference a priori-known station parameters, do not allow obtaining results with a high degree of reliability, so to solve this issue we turned to machine learning technologies. This paper describes the solution to the problem of recognizing radar stations by the radio technical parameters of signals received during radio-electronic monitoring (SEM) of the Earth, using machine learning methods, taking into account the possibility of signals from unknown radars appearing in the test sample. In the process of work, an analysis of existing machine learning methods for processing SEM information was carried out using a developed mathematical model, implemented in program code, using simulated test data. In order to probabilistically evaluate methods for recognizing types of radar stations (radars) as part of the analysis of SEM information in a complex signal-interference environment, modeling of the initial data, consisting of a set of pairs “classification object - class label” was carried out. The radar type number was chosen as the class label, and the radar signal, which can be described using three characteristics: frequency, period, and signal pulse duration, was chosen as the classification object. The mathematical model for generating the initial data includes the ability to add a normally distributed measurement error depending on the specified standard deviation (RMSD) for each of the characteristics. In addition, the possibility of using various machine learning methods to search for outliers in the test sample was considered, and a probabilistic assessment of the accuracy of their work was also carried out. As a result of the research, based on the results obtained, the two most preferred methods of radar recognition were selected, as well as the most promising method of filtering signals from unknown radars. The use of the developed algorithms makes it possible to significantly speed up the recognition of radars based on the radio technical parameters of the signal with a high degree of recognition reliability.