Feasibility study of a rail vehicle damper fault detection by artificial neural Indexed by:
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Melnik, Rafał; Koziak, Seweryn; Dižo, Ján; Kuźmierowski, T.; Piotrowska, Ewa

doi:10.17531/ein.2023.1.5

Cited by 3 publications

(4 citation statements)

References 33 publications

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“…The coefficient of determination equals 0.993, and the standard deviation of the residuals equals 758. 24. At the significance level α = 0.05, the H 0 hypothesis was rejected in favor of H 1 for the structural parameters of β 1 , β 2 , β 3 , β 4 , β 5 , β 6 , β 7 , β 8 , therefore the predictors of these parameters significantly affect the polynomial trend in the time series.…”

Section: Passenger Carsmentioning

confidence: 92%

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Modeling the dynamics of changes in CO2 emissions from Polish road transport in the context of COVID-19 and decarbonization requirements

Borucka¹,

Kozłowski²

2023

Combustion Engines

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Emissions from transport account for 20%–25% of global carbon dioxide emissions, with more than 70% coming from road transport, making it an extremely important topic in the context of decarbonization. The aim of the article is to analyze the trend of CO2 generated from road transport, taking into account the its various sources, and also to examine the manner in which reduced mobility during the pandemic affected the emissions at the time. For this purpose, a time series containing observations up to the pandemic outbreak and a time series containing additional observations from the pandemic period were analyzed. For each time series, a trend was determined and described by a polynomial and then verified to see if the pandemic phenomenon significantly affects a parameter of the proposed model, using appropriate statistical tests.

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Section: Passenger Carsmentioning

confidence: 92%

“…Emissions from transport account for 20-25% of anthropogenic global carbon dioxide emissions [17,37], of which 71.7% are from road transport, but taking into account the production of cars and the construction of road infrastructure, this number increases to 37% of all emissions [7,14,16,24]. Transport uses 30% of the world' energy.…”

Section: Introductionmentioning

confidence: 99%

Modeling the dynamics of changes in CO2 emissions from Polish road transport in the context of COVID-19 and decarbonization requirements

Borucka¹,

Kozłowski²

2023

Combustion Engines

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“…It means the durability of the elements is not changed and they may be operated without an earlier service stage. For this case, springs of vehicle suspension can be indicated because they carry out all loadings resulting from a road [26,27]. Nevertheless, the role of these components is not only related to suspension [2,3] but also follows braking systems for the front and rear brakes of vehicles [21,24].…”

Section: Introductionmentioning

confidence: 99%

Stand testing of springs for drum break systems

Przemyslaw,

Adam,

Tadeusz

2023

Diagnostyka

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The paper concerns the study of changes in responses of spring for drum brake systems, due to fatigue cycles conducted at operational regimes of vehicles with respect to the number of kilometers. Three types of springs from two manufacturers were examined i.e. double cylindrical, single cylindrical, and conical helical. The springs were subjected to a durability test up to 1×10 6 loading cycles, covering 300-500 thousand kilometers traveled. Tensile test was used for collecting differences between results for the tested object in the as-receive state and after fatigue. Values of the Pearson correlation coefficient were used to indicate differences between tested objects before and after loading cycles. They show that the obtained results expressed a very strong correlation, which means that the elastic response of the springs during operation over a distance of 300-500 thousand kilometers did not change significantly. Taking into account the recommendations of brake system manufacturers regarding the replacement of brake drums after 150,000 and 50,000 kilometers, respectively, it can be concluded that brake springs are the most durable and reliable element of such a brake system.

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“…The integration of these technologies allows for the creation of advanced, interactive simulation environments that not only offer a higher degree of immersion, but also enable the personalization of training experiences. Thanks to AI and ML, simulators can adapt scenarios in real time, adapting the level of difficulty and the presented challenges to the individual skills and needs of the user, which increases the effectiveness of the teaching process [14][15][16][17].…”

mentioning

confidence: 99%

Model of Electric Locomotive Simulator Cabin Excitations

Chudzikiewicz,

Góra,

Gerlici

et al. 2024

Energies

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Striving to increase the speed of rail vehicles and thus improve the comfort of traveling passengers at the same time, undertakes activities in the sphere of ensuring an appropriate level of safety of rail, passenger, and freight transport. One of the elements of activities in this area is the training of train drivers. Until recently, this training consisted of a theoretical and practical part on the vehicle, alongside an experienced train driver. Considering the increasing level of automation of railway traffic control systems and locomotive equipment, as well as training costs and requirements related to the introduction of TSI, it is becoming an increasingly common requirement to conduct practical training on railway vehicle traffic simulators, while the conditions in the simulator cabin and the trainee’s feelings should correspond to the actual driving conditions. A locomotive driving simulator is a system consisting of a cabin of a suitable type of locomotive or EMU, mapped in 1:1 scale, coupled with a motion excitation system and computer programs connected together forming the software of the cab visualization and dynamics system. The basic program simulating the dynamics and kinematics of the cabin’s motion is a program containing a motion dynamics model that generates signals forcing the movement of the exciters on which the cabin’s platform is mounted. The correct operation of the simulation model depends on the created mathematical model, which can be built in several ways. This article presents the issue of building a mathematical model describing the dynamics of the rail vehicle motion, which can then be used in the simulation model of the simulator cabin motion. Two ways of proceeding in the process of approaching the construction of a mathematical model of rail vehicle motion dynamics will be presented, with the possibility of later use in creating a simulation model of the motion of the locomotive simulator cabin. One of the possible routes was used in the past in the construction of the EP09 locomotive simulator.

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Feasibility study of a rail vehicle damper fault detection by artificial neural Indexed by: networks

Cited by 3 publications

References 33 publications

Modeling the dynamics of changes in CO2 emissions from Polish road transport in the context of COVID-19 and decarbonization requirements

Modeling the dynamics of changes in CO2 emissions from Polish road transport in the context of COVID-19 and decarbonization requirements

Stand testing of springs for drum break systems

Model of Electric Locomotive Simulator Cabin Excitations

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