Abstract:ВступДля визначення ефективності системи техні чно-го обслуговування та ремонту (ТОР) застосовують комплексні показники: коефіцієнт технічного викори-стання та коефіцієнт готовності. Коефіцієнт готовно-сті характеризує знаходження тепловоза в справному стані, а коефіцієнт технічного використання -в стані експлуатації. Вони залежать від багатьох факторів експлуатації і ремонту.Особливо важливим є питання визначення ефек-тивності застосування різних стратегій при введенні в експлуатації нових або модернізованих т… Show more
“…The task of selecting a set of diagnostic parameters for a locomotive in general and for its nodes and assemblies is relevant as the introduction of technical diagnostics could reduce the cost of locomotive maintenance. The relationship between a locomotive readiness coefficient, performance indicators, and a maintenance system has been confirmed by authors in [8]. Paper [9] addresses the choice of diagnostic parameters for the insulation of traction electric motors in locomotives.…”
Section: G Imentioning
confidence: 83%
“…During the operation of the locomotive, a data stream is generated, in which it is necessary to highlight the information components of the changing technical condition of the object to be diagnosed. Our review of studies [5][6][7][8][9][10][11] suggests that, despite a significant body of research in this area, the task of selecting the most informative diagnostic features continues to be relevant. The focus of further research development would be to select the most informative components in order to automate and accelerate the interpretation of diagnostic results.…”
Modern diagnostic systems are characterized by that the flow of diagnostic information requires significant computational resources to process. In order to improve the reliability of the object to be diagnosed and reduce operating costs, it is necessary to improve procedures for analyzing diagnostic results. This paper suggests a procedure to form the diagnostic features of locomotive nodes based on the use of a principal components analysis. The proposed approach is distinguished by a decrease in the dimensionality of the input set of diagnostic features in order to select the sets of interconnected diagnostic parameters. Based on the selection of the sets of interconnected diagnostic features, constructing new latent diagnostic parameters has been proposed. A latent diagnostic parameter contains information that combines data from several initial diagnostic features. The result of the method is a set of latent diagnostic parameters that do not correlate with each other and reflect the behavior of the object to be diagnosed from different technical points. The application of a sufficient number of latent diagnostic parameters involved the scree test method. This paper reports the results from using the proposed approach for treating the results from diagnosing the hydraulic transmissions in locomotives. The result from applying the procedure has made it possible to propose using three latent diagnostic parameters to assess the technical condition of a locomotive’s hydraulic transmission during bench tests. The suggested parameters contain 90 % of the original information and reflect losses in the transmission, as well as the load at the input and output of the transmission.
“…The task of selecting a set of diagnostic parameters for a locomotive in general and for its nodes and assemblies is relevant as the introduction of technical diagnostics could reduce the cost of locomotive maintenance. The relationship between a locomotive readiness coefficient, performance indicators, and a maintenance system has been confirmed by authors in [8]. Paper [9] addresses the choice of diagnostic parameters for the insulation of traction electric motors in locomotives.…”
Section: G Imentioning
confidence: 83%
“…During the operation of the locomotive, a data stream is generated, in which it is necessary to highlight the information components of the changing technical condition of the object to be diagnosed. Our review of studies [5][6][7][8][9][10][11] suggests that, despite a significant body of research in this area, the task of selecting the most informative diagnostic features continues to be relevant. The focus of further research development would be to select the most informative components in order to automate and accelerate the interpretation of diagnostic results.…”
Modern diagnostic systems are characterized by that the flow of diagnostic information requires significant computational resources to process. In order to improve the reliability of the object to be diagnosed and reduce operating costs, it is necessary to improve procedures for analyzing diagnostic results. This paper suggests a procedure to form the diagnostic features of locomotive nodes based on the use of a principal components analysis. The proposed approach is distinguished by a decrease in the dimensionality of the input set of diagnostic features in order to select the sets of interconnected diagnostic parameters. Based on the selection of the sets of interconnected diagnostic features, constructing new latent diagnostic parameters has been proposed. A latent diagnostic parameter contains information that combines data from several initial diagnostic features. The result of the method is a set of latent diagnostic parameters that do not correlate with each other and reflect the behavior of the object to be diagnosed from different technical points. The application of a sufficient number of latent diagnostic parameters involved the scree test method. This paper reports the results from using the proposed approach for treating the results from diagnosing the hydraulic transmissions in locomotives. The result from applying the procedure has made it possible to propose using three latent diagnostic parameters to assess the technical condition of a locomotive’s hydraulic transmission during bench tests. The suggested parameters contain 90 % of the original information and reflect losses in the transmission, as well as the load at the input and output of the transmission.
“…Thus, in work [4], an integrated coefficient of technical operation of locomotives is proposed, which characterizes the process of technical operation of the locomotive. The application of the proposed indicator for the choice of maintenance strategy of shunting diesel locomotives is considered in [5]. The use of the coefficient of technical operation makes it possible to justify the choice of a rational strategy for servicing locomotives when calculating the value of the coefficient, while the results of monitoring the condition of locomotive units are not used in calculating the coefficient.…”
Section: Literature Review and Problem Statementmentioning
The widespread introduction of information technologies in the systems that manage technical fleets, the use of maintenance and repair systems based on risk assessment, is based on the calculation of a large enough number of indicators. Modern locomotives are equipped with systems for monitoring and diagnosing technical condition. Combining these systems with the Internet of Things and Big Data technologies provides an opportunity to use completely new approaches to fleet management. At the initial stage of the construction of such systems, it is necessary to devise criteria that make it possible to automatically determine the technical condition of a locomotive and its components in order to identify the locomotive in the total fleet that requires maintenance or repair.
A procedure has been proposed for calculating the technical condition index of locomotives and their components based on data from monitoring systems. The procedure is based on the formation of latent diagnostic parameters employing the principal component method and on the subsequent calculation of the weight coefficients of these parameters applying the method of hierarchy analysis. The special feature of the proposed procedure is that when calculating the index, those latent diagnostic parameters are used that are derived from the group of control parameters whose weight coefficients are computed using the method of hierarchy analysis without involving experts.
This paper reports the results from calculating the informativeness of the diagnostic parameters of load, loss, input, as well as their weight coefficients. The highest information content, from 0.5 to 0.85, is demonstrated by the load parameter; the smallest (0.05‒0.26) ‒ the input parameter. The average value and the dependences of changes in the technical condition index of a hydraulic transmission during the tests have been determined. Analysis of the technical condition index makes it possible to assess the transmission's response to changes in test modes, the dynamics of changes in losses
Purpose. The article is aimed to evaluate the influence of locomotives` operation and reliability indicators on the system of locomotives repair organization in depot, using the methods of queue theory. Methodology. The article describes the locomotive repair workshop using the terms and concepts of the queue systems theory (QST). The tasks solved during simulation of the repair workshop operation are formulated, the list of initial data and simulation results is given. A graphical simulation environment Simulink was used as a software simulation tool. Findings. It was established that the main indicators of locomotive depot operation are affected by the volume of traffic, the reliability of locomotives, the rule used to select locomotives from the queue, the number of operating repair bays. The developed model of the depot repair workshop will make possible rational planning of the repair workshop`s equipment use, the human capital, the time of putting the locomotives into repair taking into account the workshop loading uniformity, as well as to improve the repair parts supply logistics. This model in a simplified form describes the repair process of the main diesel locomotive fleet, and can be supplemented depending on the repair type performed in the depot. Originality. The paper presents the locomotive repair depot as an object of the queue systems theory. The simulation model of the locomotive repair depot was developed. It allows analyzing the influence of various factors on the system of locomotives` repair organization in the depot. Practical value. The obtained results make it possible to determine the influence of locomotives` operation and reliability indicators on the organization of the locomotive repair depot operation. In further studies, the developed model can be used to improve the system of repair organization on the railway network when introducing new series of locomotives and changing the strategy of their maintenance.Keywords: locomotive repair workshop; simulation; queue system theory; organization of the repair workshop operation ISSN 2307-3489 (Print), ІSSN 2307-6666 (Online) Наука та прогрес транспорту. Вісник Дніпропетровського національного університету залізничного транспорту, 2018, № 5 (77) ЕКСПЛУАТАЦІЯ ТА РЕМОНТ ЗАСОБІВ ТРАНСПОРТУ Fig. 2. Repair workshop model of diesel locomotives in the form of QS: 1former of the receipt time of locomotives for repair; 2block of the former of the application distribution in time; 3former of diesel locomotive service time at repair position; 4diesel locomotive repair positions; 5queue of locomotives waiting for repair ISSN 2307-3489 (Print), ІSSN 2307-6666 (Online) Наука та прогрес транспорту. Вісник Дніпропетровського національного університету залізничного транспорту, 2018, № 5 (77) ЕКСПЛУАТАЦІЯ ТА РЕМОНТ ЗАСОБІВ ТРАНСПОРТУ
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