scholarly journals Improvement of Diagnostic Parameters of a Rolling Wheel with Flat Spot and Experimental Test on Lithuanian Railways

2020 ◽  
Vol 10 (20) ◽  
pp. 7148
Author(s):  
Vladas Kukėnas ◽  
Boris Kharitonov ◽  
Mikhail Levinzon ◽  
Raimondas Jasevičius

The JSC (Joint-Stock Company) “Railway Products Conformity Assessment Center”, under a contract with JSC “Lithuanian Railways”, carried out a rolling stock geometry and rolling surface defect risk assessment study which analyzed the principles and algorithm of the ATLAS-LG system used by JSC “Lithuanian Railways” and the system’s advantages and similarities with other systems used for rolling surface defect prediction worldwide. According to the results of this study, JSC “Voestalpine VAE Legetecha” made changes to the algorithms of its ATLAS-LG computing system and changed the parameter used to determine the damage to wheelsets. The goal of this work was to review the automatic systems of rolling stock used to evaluate the state of the rolling stock, compare the criteria for culling, describe the methodology for setting a new parameter for detecting wheel damage Pderivative instead of the previous parameter Kdm, and upgrade operational algorithms of ATLAS. This paper describes the algorithm and methodology for setting a new parameter, evaluating the construction of rolling stock and movement speed. To develop a replacement algorithm for the ATLAS-LG system, a new parameter verification methodology using the inverse Laplace transform for the mathematical model was used.


Author(s):  
O. Klepikov ◽  
A. Boreyko ◽  
G. Kurenkova

The aim of the study was to assess the professional risk of developing diseases in workers of the railway car repair enterprise. The Voronezh Car Repair Plant, a branch of Vagonremmash Joint-Stock Company, was chosen as the object of study. Methods: «The methodology for calculating individual occupational risk depending on the working conditions and the health status of the employee», developed by the Klin Institute for Protection and Working Conditions in conjunction with the Research Institute of Occupational Medicine (2013), the main professions; cohort study with the calculation of the relative risk of morbidity with temporary disability, the odds ratio, the etiological share of factors in the formation of morbidity (group size: 250 people, experimental group — workers of the main specialties, 95 people — comparison group). Results. According to the research results, the priority factors of occupational health risk include: chemical, noise, heating microclimate, low light level. For certain professions, the share of the contribution of priority factors to the risk profile (PV) reaches 40 %. The indicator of individual occupational risk is 0.12 to 0.26 units. The high level of professional risk (0.22 ÷ 0.26) is characterized by the working conditions of the mechanics for the repair of rolling stock, machine tools (woodworking), casters (metal), thermists, plastic casters. In professional groups with medium and high risk, the indicator of the relative risk of morbidity with temporary disability is higher than 1 (RR = 1.75 and 1.39, respectively), and the etiological share of production factors in the formation of diseases is from 27.95 (subgroup with secondary professional risk) up to 42.88 % (a subgroup with high professional risk), which indicates the professional condition of the disease. Discussion. In general, our data are consistent with the results of similar studies conducted earlier at the car building and car repair enterprises. In order to ensure hygienically safe working conditions and preserve the health of workers, it is necessary to reduce the level of exposure to production factors, including through the introduction of modern equipment and improvement of technological processes.



2021 ◽  
pp. 32-42
Author(s):  
О.М. Safronov ◽  

A brief history of the development of high-speed passenger traffic in the countries of the world is shown, it is shown that the length of high-speed highways (SMM) in the world is 44 thousand km. Despite the fact that Ukraine is not included in the list of 28 countries with the SMM, a two-system electric train ECR1 "Tarpan" was created on the basis of the PUBLIC JOINT STOCK COMPANY "KRYUKOVSKY RAILWAY CAR BUILDING WORKS" (PJSC "KVBZ") for the speed of movement of more than 200 km / h. A description of the electric train and the peculiarities of the brake system are given. It is shown that the brake system corresponds to world counterparts for high-speed trains about what evidence test results, which, due to the lack of ATS, were carried out for a speed of 160 km / h. The results of the settlement research, using the mathematical model and the results of the driving brake tests, showed that the braking pathway of the electric train at a speed of 200 km / h is 1539 m, and at a speed of 300 km / h - 3172 m. The obtained brake path values comply with the technical requirements of the European Union TSI . Studies confirm that Ukraine has high-speed rolling stock for speeds up to 300 km / h. Key words: high-speed rolling stock, electric train, brake system, brake path, speed



2003 ◽  
pp. 50-61 ◽  
Author(s):  
T. Medvedeva ◽  
A. Timofeev

The article analyzes legal aspects of institutes of corporate governance. Different draft laws "On Joint-Stock Companies" are considered which reflected interests of separate groups of participants of market relations. Stages of property redistribution are outlined. The advantages of the model of the open joint-stock company are formulated. Special attention is paid to the demand for legal institutes of corporate governance as well as to the process of accepting the Federal Law "On Entering Amendments to the Federal Law "On Joint-Stock Companies"" which was enacted in 2002. The article contains proposals directed at improvement of corporate legislation.



2017 ◽  
Vol 0 (13) ◽  
Author(s):  
I. N. LOMTEVA ◽  
K. P. SYNYTSIA ◽  
N. P. SNACHOV


Author(s):  
Oleg Georgievich Blazhevich

The article studies the financial stability of a particular insurance organization. The financial stability of the insurance company is an essential component of its activities and characterizes the ability to pay off its obligations on time and in full. The analysis of financial stability is defined as an independent object of evaluation, which explores the structure of the formation and use of capital. To assess the financial stability of the insurance company, a set of indicators was formed, including the following ratios: level of equity, ratio of equity to liabilities, ratio of insurance premiums and insurance reserves, ratio of working capital and non-current capital, level of permanent capital, ratio of equity and insurance reserves, level of debt load, level of insurance reserves. The insurance public joint-stock company RESO-Garantia was chosen as the object of analysis. The analysis showed that the capital structure in the insurance company under consideration is not optimal. The company has a shortage of insurance reserves, which is offset by equity.





Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1499
Author(s):  
Ján Jobbágy ◽  
Peter Dančanin ◽  
Koloman Krištof ◽  
Juraj Maga ◽  
Vlastimil Slaný

Recently, the development of agricultural technology has been focused on achieving higher reliability and quality of work. The aim of the presented paper was to examine the possibilities of evaluating the quality of work of wide-area irrigation machinery by monitoring the coefficients of uniformity and non-uniformity of irrigation. The object of the research was pivot irrigation machinery equipped with sprinklers with a total length from 230 to 540 m. The commonly applied quality of work parameter for wide-range irrigators is the irrigation uniformity coefficient according to Heermann and Hein CUH. Work quality evaluations were also carried out through other parameters applicable in practice, such as irrigation uniformity coefficients calculated according to Christiansen CU, Wilcox and Swailes Cws, and our introduced parameters, the coefficient ar (derived from the degree of unevenness according to Oehler) and the degree of uniformity γr (derived from the degree of non-uniformity according to Voight). Other applied parameters for determining the quality of work of wide-range irrigation machinery were the coefficients of irrigation uniformity according to Hart and Reynolds CUhr, further according to Criddle CUcr and subsequently according to Beale and Howell CUbr. Next, the parameters of the non-uniformity coefficient according to Oehler a, the coefficient of variation according to Stefanelli Cv, the degree of non-uniformity according to Voigt γ and the degree of non-uniformity according to Hofmeister Ef were evaluated. Field tests were performed during the growing season of cultivated crops (potatoes, corn and sugar beet) in the village of Trakovice (agricultural enterprise SLOV-MART, southwest of the Slovakia) and in the district of Piešťany (Agrobiop, joint stock company). During the research, the inlet operating parameters (speed stage, inlet pressure, irrigation dose), technical parameters (number of sprayers, total length, number of chassis) and weather conditions (wind speed and temperature) were recorded. The obtained results were examined by one-way ANOVA analysis depending on the observed coefficient or input conditions and subsequently verified by Tukey and Duncan tests as needed. Irrigation uniformity values ranged from 67.58% (Cws) to 95.88% (CUbh) depending on the input conditions. Irrigation non-uniformity values ranged from 8.58 (a, Ef) to 32.42% (Cv). The results indicate a statistically significant effect of the site of interest and thus the impact of particular field conditions (p < 0.05). When evaluating the application of different coefficients of irrigation uniformity, the results showed a statistically significant effect only in the first test (p = 0.03, p < 0.05). During further repeated measurements, the quality of work increased due to the performed inspection of all sprayers and the reduction in the influence of the wind.



1997 ◽  
Vol 33 (5) ◽  
pp. 567-570
Author(s):  
E. A. Gritsenko ◽  
A. I. Pavlov ◽  
V. N. Orlov


Sign in / Sign up

Export Citation Format

Share Document