scholarly journals Improving the efficiency and safety of operation of underground tunnel escalators. Forecasting model

2021 ◽  
Vol 1 (1) ◽  
pp. 12-22
Author(s):  
V.A. Popov ◽  
◽  
V.V. Yelantsev ◽  
Keyword(s):  
Mathematical Model ◽  
Information Technologies ◽  
Good Condition ◽  
Forecast Model ◽  
Technical Condition ◽  
Technical State ◽  
Rolling Stock ◽  
Main Task ◽  
Technical Object ◽  
Underground Tunnel

The subways of Moscow and St. Petersburg are the oldest in Russia. Its infrastructure includes a diverse fleet of equipment. The fleet of rolling stock in the last decade was mainly renewed, while due to the peculiarities of operation and mainly for financial reasons, the escalator fleet will not be replaced for a long time. In this connection, the main task of the departments responsible for the operation of escalators is to maintain the rapidly aging fleet in good condition. Thus, a situation, when the escalator economy is a source of costs to meet the constantly increasing demand for re-sources is formed. At the same time, the limited allocation of all types of resources only aggravates the current situation. The above circumstances contribute to the actualization of the issue of selection of tools, which makes it possible to increase the efficiency and safety of operation of underground tunnel escala-tors. According to the authors of the paper, one of such tools can be the forecasting of the technical state of the elements of the escalator subsystems, made on the basis of special routing of infor-mation flows, designed for the optimal distribution of allocated resources. Since an escalator is a complex technical object of increased danger, the routing of information flows for it characterizing its technical condition is possible only on the basis of a preliminary de-composition into information levels. For this reason, the beginning of the paper is devoted to the decomposition of the technical state of the escalator into four information levels, covering all aspects of the technical state from the mi-cro-level of the state of materials from which the elements of the escalator subsystems are made, ending with the functional state of the entire escalator. The purpose of the work is further revealed. It consists in describing a general mathematical model for predicting the technical state of the elements of the escalator subsystems and the re-quirements for its construction. The work describes the main task that solves the proposed forecast model. In conclusion, the options for using the proposed model are considered. The scientific novelty of the proposed approach lies in the use of the modern mathematical appa-ratus of the fuzzy set theory for processing parametric information, elements of artificial intelli-gence, as well as a precedent approach in analyzing the operational situation, which, in combination, are necessary to build a predictive model of the technical state as applied to the escalator facilities of the subway. From a practical point of view, it should be noted that the proposed mathematical model, implemented on the basis of modern information technologies, will make it possible to more rationally adjust the mechanisms for allocating resources, while ensuring the necessary level of safety for passenger transportation.

scholarly journals System of Remote Monitoring of Technical Objects

2021 ◽  
Vol 18 (5) ◽  
pp. 110-121
Author(s):  
A. A. Korotky ◽  
A. A. Demyanov ◽  
A. A. Demyanov
Keyword(s):  
Online Monitoring ◽  
Adaptive System ◽  
Residual Life ◽  
Technical Condition ◽  
Transport Processes ◽  
Rolling Stock ◽  
Diagnostic Process ◽  
Online Information ◽  
Technical Object ◽  
Technical Parameters

Currently, digitalization, being implemented in all spheres of human activity, including transport processes, requires efficiency in obtaining and processing information, as well as timeliness of decisions made on its basis. The modern system of operation of railway traction rolling stock is characterized by the lack of online information about the current technical condition and the residual life of its components for decision making.The article proposes to solv e the problem by implementing an adaptive system for remote online monitoring of technical parameters of operated objects into the field of traction rolling stock operation. The adaptive system contains software related to recommendation decision support systems. A distinctive feature of the system is the presence of elements of artificial intelligence, which self-learns by combinatorial processing of the historical database on operation of this or a similar technical object and current performance indicators corresponding to them.The proposed information processing algorithm is versatile and, in principle, can work with a variety of data sources, including existing traction rolling stock safety devices. Online monitoring of technical parameters of operated objects can be extended to both cargo-passenger rolling stock and related auxiliary machinery and devices (track machines, cranes, hump retarders, etc.). Based on the analysis of the information received, the software generates and transmits recommendations regarding current urgent actions for managing staff and maintenance personnel.In addition, the proposed technology makes it possible to predict indicators of accidents at operated objects in real time, providing an opportunity to facilitate the diagnostic process, optimize organisation of maintenance, reduce the cost of maintaining rolling stock, and increase safety of the transportation process.The adaptive system of remote online monitoring of operational safety of technical objects, considered in the article, through a risk-based approach, is a unique development that has no analogues. 

scholarly journals STATEMENT OF THE PROBLEM FOR TECHNICAL DIAGNOSTIC TANK CARS

2021 ◽  
pp. 68
Author(s):  
V. VOROPAI
Keyword(s):  
Life Cycle ◽  
Technical Condition ◽  
Industrial Enterprise ◽  
Practical Significance ◽  
Rolling Stock ◽  
Alternative Form ◽  
Technical Diagnostics ◽  
Main Task ◽  
Global Management ◽  
Modern Technologies

The purpose of the work is to formulate the problem of technical diagnostics of tank cars. Research methods. Methods of formal logic were used methods of the theory of reliability and probability were used to describe the stages of solving the problem. Results. A study of a large array of data on the performance indicators of tank cars for the transportation of liquefied gases of the fleet of a chemical industry enterprise in Ukraine was carried out. The results of technical inspection of tank cars were obtained. A hypothesis has been formed about the possibility of increasing the resource of tank cars of an industrial park for their further operation. A proposal was put forward to consider the last stage of the life cycle as the stage "Life cycle renewal and recycling", which is not defined in Statement Standart. It should in an alternative form represent the stages of "utilization", "modernization", "modification" and "recycling", this will correspond to modern technologies on the scale of the global management of any resources. The research task was formulated, which determines the main task - the possibility of increasing the resource of tank cars of the operating fleet of an industrial enterprise using the methods of technical diagnostics. Practical significance. The solution to the task of determining the technical condition of tank cars will allow an industrial enterprise to reasonably operate the rolling stock during the forecast period.

scholarly journals Vibration model as a system of coupled oscillators in a direct current electric motor

2019 ◽  
Vol 124 ◽  
pp. 02002
Author(s):  
O. A. Filina ◽  
A. N. Tsvetkov ◽  
P. P. Pavlov ◽  
D. Radu ◽  
V. M. Butakov
Keyword(s):  
Mathematical Model ◽  
Service Life ◽  
Economic Effect ◽  
Dc Motor ◽  
Operational Reliability ◽  
Technical Condition ◽  
Normal Operation ◽  
Rolling Stock ◽  
Operating Life ◽  
Vibration Model

This article describes a vibration model connected by individual nodes of a DC motor. The purpose of the article is a mathematical model allowing to predict the work of machines with a depreciation resource and search for ways to increase the information content of assessing the functioning of the rolling stock condition without dismantling them. Currently, the operational reliability of the DC motor is reduced after the development of the service life. Study and evaluation of the vibration effect on the brush-collector node. The main components of the DC motor (bearings, electrical brushes) are unrecoverable. Therefore, any interference with their normal operation leads to premature wear of the entire DC motor. Existing methods for life-extending maintain the operational reliability of a DC motor equal or close to the passport data for several years. This model allows vibration diagnostics without dismantling the DC motor and stopping the rolling stock. The mathematical model describes the oscillations of each node of the DC motor in the direction of movement of the rolling stock, showing the excess of the permissible value. After mathematical processing of the results, a machine reliability model under study is obtained (usually in the form of polynomials) as a function of the needed parameters – the influencing factors. Due to this model, pre-detected defects can save on repairs and maintenance in the future. This model is the basis of software for online diagnostics. The proposed model allows providing an objective use of repair and restoration compositions depending on the current technical condition, which will lead to an increase in the service life of the mechanism and savings in operating costs. On the one hand, extending the operating life of a DC motor should produce an economic effect, and on the other hand, technical measures to maintain operational reliability cause an increase in material costs.

scholarly journals Semi-Markov analytical model for assessing the quality of the maintenance system and the state of electromechanical complexes

2020 ◽  
Vol 2 (127) ◽  
pp. 15-24
Author(s):  
Volodymyr Kazhan ◽  
Vasyl Stopkin ◽  
Ksenia Kotlyarova ◽  
Alexander Yudin
Keyword(s):  
Mathematical Model ◽  
Analytical Formula ◽  
Technical Condition ◽  
Technical State ◽  
Analytical Relationship ◽  
Maintenance And Repair ◽  
Main Research ◽  
Availability Factor ◽  
Operation Process ◽  
Optimal Maintenance

Analysis of basic research. In practice, the EMC reliability indicators, in particular the failure rate, are time-varying quantities. In view of this, it is necessary to determine such periodicity values and maintenance volumes that would ensure the EMC maximum availability factor. The most adequate mathematical model for analyzing the technical state of EMC can be obtained using the apparatus of the theory of semi-Markov processes (PMF), the basis of which is an oriented graph of the basic states and transitions (GSP) of EMC during operation, which allows to formulate maintenance and maintenance strategies, the content of a separate strategy is determined a specific set of options for all states of EMC.The purpose of the article. Construction and study of a mathematical model of the EMC operation process to determine the optimal intervals and maintenance and repair strategies.The main research material. The solution to the first problem includes: building a model for the operation of the EMC; the derivation of the calculated ratio for the availability factor as a function of the technical condition of the EMC and the service station; obtaining an analytical formula for calculating optimal maintenance intervals.The paper proposes a combination of indicators ranked by importance in the linear programming problem, where the transfer time, which is a function of the SRT parameters and the technical condition of the EMC, is selected as the objective function, and the remaining indicators (readiness level, complex operation costs, and others) are taken into account in the form of restrictions. The result of solving this problem is a set of maintenance and repair options at each step of the operation of the EMC, which comprise the content of the optimal maintenance and repair strategy.Conclusions. An analytical relationship was obtained on the basis of the semi-Markov model of the operation process that allows one to calculate the optimal conditions for ensuring the availability factor of the periodicity of maintenance, which makes it possible to control the unsteady operation of the EMC, to obtain the necessary technical and economic quality indicators to build an adaptive ACS with the technical state of the EMC.

scholarly journals ANALYTICAL ESTIMATION OF THE TECHNICAL CONDITION OF PLUNGER PAIR WHEN COMPLETED BY HYDRODENSITY

2018 ◽  
Vol 13 (1) ◽  
pp. 138-142 ◽  
Author(s):  
Юрий Казаков ◽  
Yuriy Kazakov ◽  
Владимир Иванов ◽  
Vladimir Ivanov
Keyword(s):  
Mathematical Model ◽  
Technical Condition ◽  
Technical State ◽  
Plunger Pair ◽  
Factors Influencing ◽  
Analytical Estimation

The paper considers the factors influencing the estimated indicator of the technical state of the plunger pairs, when they are equipped according to the hydrodensity. To determine the influence of factors on the estimated value of the plunger pair in terms of hydrodensity, a two-factor experiment was planned and implemented, and a mathematical model was obtained for the process of selecting plunger pairs as a set for hydro-densities. On the basis of the research, it is suggested to complete the plunger pairs as a set on the KI-759 device with a mathematical dependence to reduce the error.

scholarly journals Risk-Based Approach in Assessing the Technical Condition of Foundations of Bridge Structures

2021 ◽  
Vol 18 (6) ◽  
pp. 64-73
Author(s):  
E. V. Kaimov
Keyword(s):  
Mathematical Model ◽  
Technical Condition ◽  
Technical State ◽  
Probabilistic Methods ◽  
Transport Infrastructure ◽  
Practical Significance ◽  
Structural Elements ◽  
Functional Quality ◽  
Bridge Structures

The objective of this article is to consider the use of predictive mathematical models for assessing risks associated with a critical loss of values of functional quality of bearing structural elements (foundations) of bridge structures using methods of probabilistic analysis and forecasting the risks of reducing of values of indicators of the technical state of structural elements.The research results in development of an algorithm and a mathematical model that characterise the features of the process of reducing of values of indicators of the technical condition of load-bearing structures during the service life cycle. The results of assessing the loss of functional quality of foundations obtained using this model are presented.The practical significance of the study relates to the possibility and expediency of using probabilistic methods for predictive assessment of the technical state of loadbearing structures. With the help of an appropriate mathematical model, it becomes possible to proceed with design rationale of indicators of functional quality of foundations of bridge structures.The need to improve regulatory provisions for design and forecasting of indicators of the technical condition of transport infrastructure objects is substantiated.

scholarly journals INVESTIGATION CASES OF ROLLING STOCK DERAILMENT USING MATHEMATICAL MODELING

2019 ◽  
Vol 20 (2) ◽  
pp. 340-350
Author(s):  
А. Batig ◽  
A. Kuzyshyn
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Mathematical Models ◽  
Technical Condition ◽  
The Body ◽  
Object Oriented Programming ◽  
Rolling Stock ◽  
Highly Qualified ◽  
Rolling Surface ◽  
Computer Environment

The purpose of this article is to analyze the need to apply the methods of mathematical modeling when performing examinations of rolling stock derailment. The description of the dynamic behavior of rolling stock when moving on the track is a rather complicated, time-consuming process, which requires highly qualified expert and time-consuming. The presence of detailed mathematical models of the constituent units of the rolling stock would greatly facilitate the study of cases of their derailment. At present, a significant number of scientific papers are devoted to the study of the dynamics of rolling stock movement using mathematical models. In Lviv NDISE, investigations of such railway accidents as rolling stock derailment from the rails are performed by experts according to the methods developed by the doctor of technical sciences Sokol E. M., allowing to take into account a certain number of parameters of wagon running gears. At present, when experts examine the cases of rolling stock derailment, there is a need to develop new methods that would allow to take into account more parameters of the undercarriage parts of the wagons, such as: parameters of the damping system, spring suspension, bolster, node of the body-bogie bolster center plates, etc. P. There are also cases of railway accidents, in which one of the reasons may be the presence of defects on the rolling surface of the wheels of the rolling stock. In this regard, experts of Lviv NDISE to take into account the above-mentioned parameters of the running gears and to identify the most significant for rolling stock derailment, it was developed object-oriented programming in the computer environment Maple. At present, have developed a mathematical model of a passenger car of a diesel train, the DPKr-2, and an improved mathematical model of a freight wagon. The authors of the article came to the conclusion that the use of mathematical models and their computer solution can facilitate the process of researching rolling stock cases from the rails, as it allows automating and speeding up the study of dynamic indicators of rolling stock, facilitating the process of establishing the limiting values of its technical condition parameters and assessing the consequences changes in these parameters in certain working conditions.

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