• Title/Summary/Keyword: Track Maintenance

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Multiple Target Tracking using Normalized Rayleigh Likelihood of Amplitude Information of Target (Normalized Rayleigh Likelihood를 활용한 표적신호세기정보 적용 다중표적추적 기술)

  • Kim, Sujin;Jung, Younghun;Kim, Seongjoon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.4
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    • pp.474-481
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    • 2017
  • This paper presents a multiple target tracking system using Normalized Rayleigh likelihood of amplitude information of target. Although many studies of Radar systems using amplitude information have been studied, they are focused on single target tracking. This paper proposes the multiple target tracking using amplitude information as well as kinematic information from Radar sensor. The amplitude information are applied in generating the association probability of joint probabilistic data association(JPDA) algorithm through the normalized Rayleigh likelihood. It is verified that the proposed system can enhance the track maintenance and tracking accuracy, especially, in the target crossing case.

Fuzzy+PID Controller for Bridge Inspection Robot (교량 탐사 로봇을 위한 퍼지+PID 제어기)

  • Lee, An-Yong;Hwang, Young-Ho;Yang, Hai-Won
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1720-1721
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    • 2007
  • This paper presents a Fuzzy+PID control method for a Bridge Inspection Robot(BIR) system. The BIR has been developed with the aim of checking the safety status of a real bridge, gathering accurate data and performing maintenance. The developed robot system is composed of the specially designed car for bridge inspection, the guide rail and the inspection robot. The proposed Fuzzy+PID controllers are used to track speed reference signal of X axis and position reference signal of Z axis. Experimental results verify that the proposed Fuzz+PID control design method can achieve favorable control performance with regard to external disturbance.

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A Study on Development of Robot Monotoring System Simulator for Smart Factory (스마트 팩토리를 위한 로봇 모니터링 시스템 시뮬레이터 개발에 관한 연구)

  • Kim, Hee-Jin;Kim, Sang-Hyun;Jang, Gi-Won;Kim, Du-Beum;Dong, Guen-Han;Han, Sung-Hyun
    • Journal of the Korean Society of Industry Convergence
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    • v.22 no.5
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    • pp.561-573
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    • 2019
  • This study proposes a new approach to implement smart factory based on robot monitoring system for a small and medium sized enterprise. The simulator includes the forward kinematics and inverse kinematics analyzes of articulated robots. We also modeled the dynamics of the robot and made it possible to simulate it in the program. We studied the interface between the user and the monitoring programming system using the GUI environment of Windows OS, and it is configured to select the appropriate trajectory planning and control method. The reliability of simulator is illustrated by simulation test.

Evaluation of shelter performance following the 2013 Moore tornado

  • Scott, Pataya L.;Liang, Daan
    • Wind and Structures
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    • v.21 no.4
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    • pp.369-381
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    • 2015
  • Moore, Oklahoma was hit by an EF5 tornado on May 20, 2013. The tornado track slightly overlapped with two previous tornadoes that occurred on May 3, 1999 and May 8, 2003 respectively. A research team from Texas Tech University was deployed to investigate the performance of shelters based on observation of their post-storm conditions. Sixty-one shelter units were further documented by size, manufacturer, and date of installation if available. Then they were crossed referenced with the external databases to determine their compliance with design and construction standards by the International Code Council/National Storm Shelter Association and/or criteria from the Federal Emergency Management Agency publications. Wind intensity was estimated for each shelter location using the EF scale. Results showed a marked increase in the number of exterior underground shelters as well as the popularity of a new in-garage floor underground shelter design. All of the units provided protection for their occupants with no loss of life reported. However, one older shelter had a door failure due to neglect of maintenance. Recommendations were made to improve future performance of shelters.

A Study on Oil Diffusion in the Soil under Railroad Track using 2-D Reactor (2-D 반응기를 이용한 선로 하부 토양 내 유류 확산에 관한 연구)

  • Kang, Hae-Suk;Kwon, Tae-Soon;Jung, Woo-Sung;Lee, Jae-Young;Cho, Young-Min;Jeon, Yong-Sam
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.982-984
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    • 2008
  • Generally, the soil around railroad is contaminated by the leakage of oil during its maintenance or the operation of rolling stock. Because the railroad soil is located under ballast and is hardened with the designated strength due to safety, the characteristics of the polluted site are different. In this study, the phenomena of oil diffusion in the railroad site was investigated using 2-D reactor. The used oil was lubricant. As a result, the maximum diffusion depth of lubricant was about 9.5 cm due to its high viscosity and the hardened soil. The lubricant was diffused by gravity more than by horizontal migration. In the future, these results can be applied to develop a remediation method for the contaminated railroad soil.

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Video Road Vehicle Detection and Tracking based on OpenCV

  • Hou, Wei;Wu, Zhenzhen;Jung, Hoekyung
    • Journal of information and communication convergence engineering
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    • v.20 no.3
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    • pp.226-233
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    • 2022
  • Video surveillance is widely used in security surveillance, military navigation, intelligent transportation, etc. Its main research fields are pattern recognition, computer vision and artificial intelligence. This article uses OpenCV to detect and track vehicles, and monitors by establishing an adaptive model on a stationary background. Compared with traditional vehicle detection, it not only has the advantages of low price, convenient installation and maintenance, and wide monitoring range, but also can be used on the road. The intelligent analysis and processing of the scene image using CAMSHIFT tracking algorithm can collect all kinds of traffic flow parameters (including the number of vehicles in a period of time) and the specific position of vehicles at the same time, so as to solve the vehicle offset. It is reliable in operation and has high practical value.

New Train Detection Method using DC Magnetic Field Variation (직류 자기장 변화를 이용한 새로운 열차검지기법 연구)

  • Shin, Seung-Kwon;Jung, Ho-Sung;Lee, Hyung-Chul;Park, Young;Cho, Yong-Hyeon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.9
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    • pp.1324-1328
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    • 2013
  • The reason of train location detection is generally the train interval control between the railway stations and the train path control in the railway station yard in order to avoid train collision. It is very important to know the train location for shortening the train headway, and improving the efficiency of railway maintenance as well as the safe operation of trains. Therefore, the accurate detection of train location is the prerequisite technology in railway signalling system. The track circuit and the wheel sensor of rolling stock have been used to detect the train location widely in urban railway as well as high speed train. The track circuit is continuously monitored by electrical equipment to detect the absence of the train and the tachometer and encoder is used for the wheel sensor to measure the train speed. But speed sensor failures are frequent due to the extremely harsh operating conditions encountered in rail vehicle. The CBTC(Communication based Train Control) system has been used in urban railway system recently. But the installation of CBTC system is very high and the modification of design is difficult. This paper deals with the feasibility of new train location detection method using magnetic sensors.

Recognition of rolling bearing fault patterns and sizes based on two-layer support vector regression machines

  • Shen, Changqing;Wang, Dong;Liu, Yongbin;Kong, Fanrang;Tse, Peter W.
    • Smart Structures and Systems
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    • v.13 no.3
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    • pp.453-471
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    • 2014
  • The fault diagnosis of rolling element bearings has drawn considerable research attention in recent years because these fundamental elements frequently suffer failures that could result in unexpected machine breakdowns. Artificial intelligence algorithms such as artificial neural networks (ANNs) and support vector machines (SVMs) have been widely investigated to identify various faults. However, as the useful life of a bearing deteriorates, identifying early bearing faults and evaluating their sizes of development are necessary for timely maintenance actions to prevent accidents. This study proposes a new two-layer structure consisting of support vector regression machines (SVRMs) to recognize bearing fault patterns and track the fault sizes. The statistical parameters used to track the fault evolutions are first extracted to condense original vibration signals into a few compact features. The extracted features are then used to train the proposed two-layer SVRMs structure. Once these parameters of the proposed two-layer SVRMs structure are determined, the features extracted from other vibration signals can be used to predict the unknown bearing health conditions. The effectiveness of the proposed method is validated by experimental datasets collected from a test rig. The results demonstrate that the proposed method is highly accurate in differentiating between fault patterns and determining their fault severities. Further, comparisons are performed to show that the proposed method is better than some existing methods.

A study on Development of method for Train Schedule Simulation (철도 차량운행계획 시뮬레이션 방법론 개발에 대한 연구)

  • Shin, Dae-Sup;Park, Eun-Kyung;Lee, Jin-Sun;Lee, Seon-Ha
    • Journal of the Korean Society for Railway
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    • v.15 no.1
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    • pp.88-95
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    • 2012
  • Presently, because making process of train service plan consist of various constraint condition, for example structure of track, structure of track in station, train maintenance time and others for considering to be necessary of train management, it has been had extremely complex structure problems. For these reasons, it has big problems to compare analysis for various train service time-table. A study suggest methodology to choice service the most effective schedule and plan of train put before comparative analysis on making train diamond picture's expected effect of established possible various train time-table in making process of train service schedule for improving effectiveness and organization of train service schedule establishment. A study uses Line-Blocking theory for analyzing train service time-table and analyze example for regional train Sadang to Ansan section in 4line.

A Study on the Drive-less Operating Technology using Communication Based Train Control (무선통신기반 열차제어에 의한 무인운전기술에 대한 연구)

  • Jeong, Rag-Gyo;Kim, Baek-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.1
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    • pp.67-72
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    • 2010
  • In this paper, we verify the driverless operation possibility of MBS, which could overcome the defects of conventional track-circuit-based FBS, such as additional needs of maintenance and others problems according to short-circuit sensibility and, and which could allow the minimal interval between trains. With MBS, we can expect the reduction of headway, then the increase of transportation demand, and the protection of unnecessary speed variation because it allows the real time detection of train position from central office, and direct transmission of data between preceding trains and the following ones. In addition, it is possible to reduce the number of wayside-equipment substantially, to improve the passenger service, and to the achieve the positive economic effects by comfortable ride.