• Title/Summary/Keyword: RAM analysis

Search Result 754, Processing Time 0.025 seconds

Review on RAM Data Management to Urban Maglev Transit (자기부상열차 RAM DATA 관리방안)

  • Lee, Chang-Deok;Kang, Chan-Yong
    • Proceedings of the KSR Conference
    • /
    • 2007.11a
    • /
    • pp.191-196
    • /
    • 2007
  • This paper is reviewed RAM(Reliability, Availability and Maintainability) data table utilized for RAM data management to Urban Maglev Transit. As railway systems become more complex, the RAM requirements are reinforced to ensure that a design meets Reliability, Availability, Maintainability criteria. Therefore, it needs the efficient management for RAM data of railway system to meet RAM target. At this study, RAM data management format is suggested to ensure reliability and maintainability based on acquired experience for overseas rolling stock. This RAM data table and FMECA(Failure Mode Effect Criticality Analysis) table are useful to the calculation of MTBF(Mean Time Between Failure), MTBSF(Mean Time Between Service Failure) and Maintainability. Also, this RAM management table will be efficient to improve the RAM evaluation to Urban Maglev Transit.

  • PDF

A Hierarchical RAM Simulation Model Framework (계층적 RAM 시뮬레이션 모델 프레임워크)

  • Kim, Hye-Lyeong;Choi, Sang-Yeong
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.13 no.1
    • /
    • pp.41-49
    • /
    • 2010
  • In this paper, we propose a hierarchical RAM simulation model framework which are used to analyze the RAM specifications on the concept refinement phase. The hierarchical RAM simulation model framework consists of RAM simulation models, class library and each model's input and output data lists. The hierarchical RAM simulation models are co-operated with 3 kinds of model - type I, II, III. Type I, II models are used to analyze the target operational availability and Type III is used to establish the initial RAM specifications. Each model's input and output data lists are defined by considering each model's purpose of RAM analysis. The class library is arranged with each model's classes for implementing the hierarchical simulation models. The proposed framework may be applied for executing the RAM activities effectively.

Simulation Modeling for RAM Analysis of a Searching System (탐지체계의 RAM 분석을 위한 시뮬레이션 모델링 연구)

  • Yun, Won-Young;Han, Young-Jin;Park, Go-Eun;Choi, Chung-Hyun;Jung, Duk-Jae
    • Journal of Korean Society for Quality Management
    • /
    • v.39 no.3
    • /
    • pp.353-364
    • /
    • 2011
  • RAM(Reliability, Availability and Maintainability) is one of the important indicators to show the performance of weapon systems. For analyzing RAM characteristics, RAM simulation is useful and powerful as mathematical techniques. However, it is necessary to build the simulation model to express about the operation environment of weapon systems, and obtain detail input data for reliability and maintainability about the system to get accurate results by RAM simulation. In this paper, we propose a procedure to analyze RAM of the searching system consisting in weapon systems by RAM simulation and we estimate searching system availability by a commercial simulation program, AvSim.

An Objective method of risk assessment based on RAM analysis for warship (함정 분야의 RAM분석 기반 위험평가 방안)

  • Beak, Yong-Kawn;Kang, Byoung-Soo;Jo, Kwan-Jun
    • Journal of Korean Society for Quality Management
    • /
    • v.43 no.4
    • /
    • pp.511-520
    • /
    • 2015
  • Purpose: This study suggests a method of risk assessment based on RAM analysis in order to reduce the subjectivity. Methods: RAM analysis is used to assessment risk consequence(RC) and risk likelihood(RL). Result: The calculated result of the product, which has higher risk assessment, shows lower MTBF system. Conclusion: Risk assessment based on objective database will provide objectivity and effective quality control.

A Study on the RAM Analysis for Effective Integrated Logistics Support(ILS) (효과적인 종합군수지원을 위한 RAM 분석 연구)

  • Lee, Young Uk
    • Convergence Security Journal
    • /
    • v.16 no.6_1
    • /
    • pp.67-74
    • /
    • 2016
  • The development of weapon systems that look only be introduced as a huge budget directly related to combat rea diness. If we develop the expensive equipment it will not be the same state or have to wait a lot of time in mainten ance facilities for maintenance, which will have a profound impact on the exercise Efficiency. In order to solve this problem, the operation and use state of the weapon system requires effort to successfully p erform the duties held by the defined and assigned, Further analysis should be conducted RAM in order to reduce m aintenance manpower and logistic support costs. The role of business is to increase the RAM system reliability by L ee to Fig system failure rate from the development and maintenance, and reduced life cycle costs. Therefore, the present study was to determine the RAM to perform analysis procedures and methods and limita tions of each element, such as to maximize the effectiveness of comprehensive logistics support and help to study to become an effective logistics support.

Effect Analysis of Factors for Improving Accuracy of RAM Simulation in Weapon System (무기체계 RAM 시뮬레이션의 정확도 향상을 위한 요소별 영향 분석)

  • Chung, Il-Han;Park, Sam-Joon
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.11 no.6
    • /
    • pp.102-116
    • /
    • 2008
  • In the development stage of weapon system, it is important to analyze RAM(Reliability, Availability and Maintainability) characteristics. RAM simulation is one of the advanced techniques for analyzing RAM to overpass the limit of mathematical techniques. However, it is necessary to obtain correct input data for reliability and maintainability about target and support system to get highly accurate results through RAM simulation. In this study, we propose the technical method to improve the results by defining input data of simulation more correctly based on analyzing effects of RAM characteristics by major factors.

A Study on the Improvement of RAM Objective Considering Method for Weapon System (무기체계 RAM 목표값 설정 관련 개선방안 고찰)

  • Hwang, Kyeong Hwan;Hur, Jangwook
    • Journal of Applied Reliability
    • /
    • v.17 no.2
    • /
    • pp.150-158
    • /
    • 2017
  • Purpose: The RAM objective is a very important factor that has a great effect on the improvement of the operation ration during the operation maintenance and the reduction of the life cycle cost. It is used as a design criterion during the system development, and its sufficiency should be evaluated during its test evaluation. Method: This study analyzed the cases related to RAM objective setting and suggested the improvement measures. Result: The base data for RAM objective is OMS/MP, which needs to be drawn up under the supervision of the requirement military, and a high-accuracy operating availability should be set through ALDT calculation which reflects the military logistics support environment. In addition, data collection necessary for RAM objective and RAM analysis should be made by supplementing the input data of DELIIS. Conclusion: This study suggests improvement of RAM objective considering for the weapon system.

The Study on Setting up KTX-II's RAM Goals for Requirement Train-set (고속차량(KTX-II) RAM 목표값 설정을 통한 소요량 연구)

  • Cha, Jae-Hwan;Chung, In-Soo;Kim, Jong-Woon;Yu, Yang-Ha
    • Proceedings of the KSR Conference
    • /
    • 2009.05b
    • /
    • pp.191-198
    • /
    • 2009
  • There are almost no studies on verification of requirements for high speed rolling stocks by means of RAM goals and on setting RAM goals by means of verification on practical reliability, availability and maintainability for high speed rolling stocks though they are covered in specification of an order that RAM goals asked of rolling stocks are shown for gaining high quality of them and availability when they are in operation. This study is for estimating number of high speed train-sets that would be supplementarily placed an order through verification of RAM goals of a project for the introduction of KTX-II 100 cars. It verify that optimized requirements for high speed rolling stocks by relatively comparison with between requirements for train-sets through setting RAM goals and requirements for train-sets through analysis of prospects for management balance with high speed rolling stocks.

  • PDF

Analysis of Flow and BOD Transport at the Downstream of Nam River Dam Using 2-D and 3-D Semi-coupled Models (2·3차원 준연계 모형을 이용한 남강댐 하류부 흐름 및 BOD 수송 해석)

  • Kim, Ji-Hoon;Song, Chang-Geun;Kim, Young-Do;Seo, Il-Won
    • Journal of Korea Water Resources Association
    • /
    • v.45 no.3
    • /
    • pp.331-347
    • /
    • 2012
  • The downstream of the Nam River Dam is crucial region for long-term water resource planning for Busan and Gyeongnam Province. Thus, the analysis of flow behavior and water quality is necessary for the sustainable surface water management and the control of pollutant source. In this study, the flow field and BOD transport at the downstream of Nam River Dam were analyzed by incorporating 2-D water quality model, RAM4 and 3-D water quality model, WASP with the hydrodynamic model, RAM2 and EFDC, respectively. The application of 2-D flow analysis model, RAM2 showed that velocity distributions at the five transverse sections of the meandering part closely followed the measured values by ADCP, and the flow field and overflow characteristic at the submerged weir showed satisfactory performance compared with the result of 3-D EFDC model. In addition, the BOD concentration field obtained by RAM2-RAM4 coupled modeling was in good agreement with the result by EFDC-WASP model throughout the computational domain. The hydrodynamic characteristic and water quality at the downstream reach of Nam River Dam are mainly influenced by the Dam discharge, and the water quantity is closely related to the water quality control and fishery environment at the lower part of Nakdong River. Therefore, when further quantitative analysis is necessary regarding these issues, 2-D semi-coupled modeling is recommended in terms of computational effectiveness and model application aspect.