• Proceedings of the KOR-BRONCHOESO Conference
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• 1972.03a
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• pp.5-6
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• 1972

Noise and air pollution, which accompany the development of industry and the increase of population, contribute to the deterioration of urban environment. The air pollution level of Seoul has gradually increased and the city residents are suffering from a high pollution of noise. If no measures were taken against pollution, the amount of emission of pollutant into air would be 36.7 thousand tons per year per square kilometer in 1975, three times more than that of 1970, and it would be the same level as that of United States in 1968. The main sources of air pollution in Seoul are the exhaust has from vehicles and the combustion of bunker-C oil for heating purpose. Thus, it is urgent that an exhaust gas cleaner should be instaled to every car and the fuel substituted by less sulfur-contained-oil to prevent the pollution. Transportation noise (vehicular noise and train noise) is the main component of urban noise problem. The average noise level in downtown area is about 75㏈ with maximum of 85㏈ and the vehicular homing was checked 100㏈ up and down. Therefore, the reduction of the number of bus-stop the strict regulation of homing in downtown area and a better maintenance of car should be an effective measures against noise pollution in urban areas. Within the distance of 200 metres from railroad, the train noise exceeds the limit specified by the pollution control law in Korea. Especially, the level of noise and steam-whistle of train as measured by the ISO evaluation can adversely affect the community activities of residents. To prevent environmental destruction, many developed countries have taken more positive action against worsening pollution and such an action is now urgently required in this country.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1636-1641
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• 2011

Typically Korea Railroad is executing the limited inspection and general inspection about passenger car by mileage and the time elapsed.(ex. one year, two years) These types of inspection system continue from the beginning of the railroad operation of the steam locomotive age to present. According to the rolling stocks modernized and improved, mileage and the time elapsed for periodical inspection has been expanded but the basic maintainability system of rolling stocks is not that different from the past. This fact needs verification that modern inspection method is right from various fields. In this paper, we analyze the data that we get the maintenance record from Korea railroad company about periodical inspection and failure. Next to considering the correlation of periodical inspection with failure based on analyzed data for watching periodical inspection effects. And we desire to need efficient rolling stock maintenance system better than fixed periodical inspection.

• Journal of the Korean Society for Railway
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• v.15 no.4
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• pp.329-333
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• 2012

In this paper, By the time that the tilting technology is adopted in railway rolling stock, we analyzed quantitatively energy saving by reducing the power consumption with the reduction of the operation time through the speed improvement and suggested the necessity to introduce tilting technology in the domestic rail vehicles. To achieve this purpose, the effect of energy saving by comparing and analyzing the power consumption during the operation by TTX HANVIT 200 and 8200 electric locomotives to pull the trains on the same line was suggested and the efficiency of the main devices was compared and analyzed by measuring the power consumption by a single unit. As the energy saving is the world topic, the studies on reducing energy usage goes on constantly in many areas. In addition, as of the time to improve the conventional tracks to speed up and change the signals, Tilting technology will be contributed to the management environment by enlarging the passengers' demand through the reduction of the operation time and saving energy using the existing infrastructure.

• Journal of Energy Engineering
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• v.21 no.1
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• pp.33-42
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• 2012

In this study, long-term greenhouse gas reductions expected passenger sector was used for the MESSAGE. Green Car road map proposed BAU scenario, Enhanced diffusion green car scenario, and price 1, 2 scenarios was configured with four scenarios. Enhanced diffusion green car in the scenario, in 2050 compared to BAU scenario 13% of the emissions will decrease. Price 1 and Price 2 scenario is emissions reduction of 14% compared to BAU. This study consists of six chapters. Introduction of MESSAGE, creation and RES in the year and the target year set a different base line and the passenger building materials sector activities, steps for passenger sector scenario and Based on the results of running the emissions reductions were to describe.

• Journal of Korean Society of Steel Construction
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• v.18 no.4
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• pp.469-480
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• 2006

The goal of this study is to ases the static and dynamic behavior of disk bearings under railway vehicle loadings. Several static tests were conducted in a laboratory t bearings, all having the same kind of polyurethane disk as used in the static tests, were installed under a full-sized railway bridge and tested with a running locomotive, the tests results, the static and dynamic stiffness of the disk bearings were estimated and compared. the deformation of the disk bearings under the bridge was measured at varying disk bearing was almost half of that under dynamic loading. In addition, the dynamic stiffness of the fixed disk bearing was 80% higher than that of an expansion disk bearing, since the PTFE in the expansion bearing is displaced. The deformation of the disk bearing did not vary significantly with changes in locomotive's speed. The results of this study can contribute to fast-tracking the formulation of a design technique for disk bearings for railway bridges.

• Journal of Korean Society of Steel Construction
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• v.18 no.6
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• pp.769-782
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• 2006

As the ambient vibration test (AVT) of railway bridges has a limited range of speed, it has a limitation in examining the dynamic behavior of bridges accordingto speed. Thus, in order to analyze the correlation between the speed of a train passing over a bridge and the bridge's dynamic response, we conducted a speed-increasing experiment using a real diesel locomotive. To analyze the acceleration response characteristics, we attached seven vertical accelerometers at equal intervals throughout the entire section of the bridge except the supports, and one horizontal accelerometer to the middle span. Linear variable differential transformers (LVDT) were installed at the bridge's center in both vertical and horizontal directions to investigate the vertical and horizontal behaviors. The test train was statically loaded at the center and at the end of the bridge. And its speed was increased from 5 km/h to 90 km/h. With data obtained from the experiment, the vibration level was evaluated in each direction by the filtering frequency, and the level of horizontal vibration was examined in comparison with vertical vibration. The displacement and wheel load variation was analyzed by speed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.84-94
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• 2018

In recent years, the diminishing of operation and maintenance cost using advanced maintenance technology is attracting many companies' attention. Especially, the heavy machinery industry regards it as a crucial problem since a failure of heavy machinery requires high cost and long downtime. To improve the current maintenance process, the heavy machinery industry tries to develop a methodology to predict failure in advance and to find its causes using usage data. A better analysis of failure causes requires more data so that various kinds of sensor are attached to machines and abundant amount of product usage data is collected through the sensor network. However, the systemic analysis of the collected product usage data is still in its infant stage. Many previous works have focused on failure occurrence as statistical data for reliability analysis. There have been less works to apply product usage data into root cause analysis of product failure. The product usage data collected while failures occur should be considered failure cause analysis. To do this, this study proposes a methodology to apply product usage data into failure cause analysis. The proposed methodology in this study is composed of several steps to transform product usage into failure causes. Various statistical analysis combined with product usage data such as multinomial logistic regression, T-test, and so on are used for the root cause analysis. The proposed methodology is applied to field data coming from operated locomotive and the analysis result shows its effectiveness.

• Journal of the Korean Society for Railway
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• v.12 no.2
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• pp.291-301
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• 2009

This paper presents the optimal design and analysis method of the train overhaul maintenance facility based on the simulation. Because the train is composed of a coach or more, we design the simulation model after analyzing the operation of train into train, coach, coach's body parts and wheel parts and soon. In simulation analysis, we consider the critical (dependent) factors and design (independent) parameters for the selection of alternatives and optimal design. Therefore, Multi Criteria Decision Making (MCDM) is proposed for the selection of alternatives and optimal method in order to find the optimal design factors. The case study for the above approach is used for the electronic locomotive overhaul maintenance facility. This paper provides a comprehensive framework for the train overhaul maintenance facility design using the simulation, MCDM and optimal methods. Therefore, the method developed for this research can be adopted for other enhancements in different but comparable situation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1547-1552
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• 2017

Unlike diesel locomotives, electric vehicles have various issues because they have very quiet engine sound. For example, pedestrians are exposed to the dangerous electric vehicles on the road because they can not recognize the electric vehicles' sound. Moreover, the driver is unable to recognize how fast driver's car is driving at a certain speed. To solve these problems, electric cars' sound needs to be artificially implemented and played. This paper examines the problems of the previous sampling engine sound approach. In this paper, instead of using sampling sounds, we developed a novel synthesizer algorithm via programming languages as a software. In experimental results, we demonstrated and verified our proposed synthesizer's approach is superior to the previous sampling approach. In addition, through these synthesizer's approach, we highly expect the proposed synthesizer's approach will give safety, convenience and comfort to the electric vehicles' users.

• Journal of the Korean Society for Railway
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• v.18 no.6
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• pp.552-557
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• 2015

Ballast gravel in a railroad field is often polluted by grease and heavy metals. In this paper, the performances of a dry cleaning method for polluted ballast gravel in which pollutants on the gravel surface can be physically removed was extensively studied. A polluted ballast cleaning device able to shoot emery blasting media onto the surface using compressed air was prepared. Polluted ballast gravel was put into this device for cleaning, with the treatment time varied from 1 to 10 min. The cleaning efficiency of the total petroleum hydrocarbons and heavy metals were studied. The total petroleum hydrocarbon removal efficiency was 70-80% for gravels sampled from a locomotive waiting line, while it was 40-60% for gravels sampled from a turnout area. The heavy metal removal efficiency exceeded 90% for copper and lead, while it was 65-80% for nickel and zinc. This system was found to be effective for the remediation of polluted ballast gravels.