• Title/Summary/Keyword: 고장분포

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Reliability Analysis and Preventive Maintenance for Fatigue Life of End Beam for Uncovered Freight Car (무개화차용 엔드빔의 피로수명에 대한 신뢰성 분석과 계획예방정비)

  • Baek Seok Hem;Jeon Joo Heon;Lee Kyoung Young;Cho Seok Swoo;Joo Won Sik
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.3 s.234
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    • pp.495-502
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    • 2005
  • Increased cumulative running times of railroad vehicle brings out such degradation as wear and fatigue. It doesn't adapt corrective maintenance which repairs a poor part after a trouble but use preventive maintenance which fixes a bad part before a trouble. There were a few researches for preventive maintenance such as inspect affairs and facilities management. They couldn't estimate the operation reliability on railroad vehicle. Therefore, this study proposes the preventive maintenance procedure that predict repair period of end beam fur uncovered freight car using reliability function and instantaneous failure rate on the basis of fatigue test and load history data.

Heat Distribution Characteristics of High Tensile Steel for Ship Structures in Laser Welding (선체고장력강 레이저 용접부의 열분포 특성에 관한 연구)

  • 방한서;윤병현;김성주;임채환
    • Journal of Welding and Joining
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    • v.21 no.3
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    • pp.30-34
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    • 2003
  • This paper describes the heat distribution characteristics of ASTM A131DH36 high tensile steel for ship structures in 5㎾ $CO_2$ laser welding. In general, high energy of laser beam concentrates on the small area of the weldment instantaneously; therefore, this heat transfer mechanism induces the rapid changes of temperature and mechanical characteristics in laser welds this mechanism. So temperature distribution analysis is important to understand mechanical characteristics of laser welds. Authors have conducted finite element simulation to analyze the heat distribution characteristics in laser welds. The result of simulation has been verified by comparing with the metallurgical experiment result. From the result of this study, we can accurately predict the heat distribution characteristics in laser welds by using numerical simulation.

Welding Residual Stresses Distribution Characteristics of High Tensile Steel for Ship Structures in Laser Welding (선체고장력강 레이저 용접부의 잔류응력분포 특성에 관한 연구)

  • 방한서;윤병현;김영표;임채환
    • Journal of Welding and Joining
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    • v.21 no.3
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    • pp.35-39
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    • 2003
  • Laser welding has good characteristics such as high density energy, high speed and short heating time, as compared with conventional arc welding. The joint of laser welding also has good mechanical characteristics in general. However, relevant research is not sufficient to understand laser welding in the view point of mechanics until a recent date. In this paper, numerical simulation has been conducted to analyze distribution of welding residual stresses. Welding residual stresses of specimen have been measured by using sectioning method to compare the results between simulation and experiment.

Research on method of infrared thermography diagnosis for reliability improvement (배전설비 진단 신뢰도 향상을 위한 열화상 진단 방안)

  • Byun, Doc-Jun;Jung, Byoun-Hun;Park, Chul-Ho
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.1499-1500
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    • 2015
  • 국내 전력공급을 위한 배전설비는 2014년 12월 기준으로 고압전주 약 404만기와 지상기기 약 9만 6천대 등이 전국 각지에 분포되어 있으며 한국전력공사에서는 안정적 전력공급을 위한 배전선로 최적관리를 위하여 다양한 진단 장비를 활용 설비진단을 시행하고 있다. 이중 열화상진단은 당사에서 가장 널리 활용되는 배전설비 진단방법으로 타 진단장비에 비해 사용상의 편의성을 갖춤으로써 활용빈도는 높아지는 추세이나, 사용자의 진단장비에 대한 이해 부족 및 진단기술 수준부족으로 불량 적출률은 진단자에 따라 많은 차이를 보이고 있다. 또한 사업소별 진단실적 및 이에 따른 고장 발생 현황도 큰 차이를 보이고 있다. 이에 본 논문에서는 다양한 사례를 통하여 효과적인 열화상 진단방법을 제시하고 최적의 효과를 위한 진단횟수를 제시하고자 한다.

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Development of a Web-based Analysis Program for Reliability Assessment of Machine Tools (공작 기계의 신뢰성 평가를 위한 웹 기반 해석 프로그램 개발)

  • 강태한;김봉석;이수훈;송준엽;강재훈
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.10a
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    • pp.369-374
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    • 2004
  • Web-based analysis programs for reliability assessment of machine tools were developed in this study. First, the reliability data analysis program was developed to search for failure rate using failure data and reliability test data of mechanical part. Second, failure mode analysis was developed through performance tests like circular movement test vibration test for machine tools. This analysis program shows correlation between failure mode and performance test result. Third, tool life was predicted by correlation between flank wear and cutting time, using the extended Taylor tool life equation in turning data and the equivalently converted equation in order to apply ball endmill data to Taylor tool life equation in milling data. All the information related to input and result data can be stored in theses programs.

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Evaluation of Fracture Behavior of High Tension Steel by AE Amplitude Distribution (AE 진폭분포를 이용한 고장력강의 파괴특성평가)

  • Seo, Jeong-Won;Seok, Chang-Seong;Kim, Yeong-Jin;Park, Ji-U
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.5 s.98
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    • pp.175-185
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    • 1999
  • Acoustic emission(AE) measurement was carried out to evaluate the fracture behavior of high tension steel. Fracture toughness $K_{AE}$ could be determined reasonably by using the load value corresponding to an abrupt change of the accumulated AE counts AE emitted from the test specimens. AE characteristics of the base metal, the weld metal and the heat-affected zone could be distinguished using a constant value b which represented the AE amplitude distribution, Consequently the structure integrity can be evaluated by variation of the constant b at the load level. In addition it was found that AE signals due to crack growth have high amplitude but low rise time and duration.

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A comparison of opimum constant stress and step stress accelerated life tests (일정형 가속수명시험과 계단형 가속수명시험의 비교 : 최적설계를 중심으로)

  • 배도선;김명수;전영록
    • The Korean Journal of Applied Statistics
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    • v.9 no.1
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    • pp.53-73
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    • 1996
  • This paper compares two accelerated life for Weibull distribution. One is the optimum constant stress accelerated life test which minimizes the asymptotic variance of maximum likelihood estimator of a specified quantile at design stress, and the other is corresponding simple step stress test. The models and optimum designs of constant stress and step stress tests are reviewed. Behaviors of asymptotic variances, effects of design parameters to optimum tests, and expected numbers of failures and expected test times of the two tests are investigated. The efficiency of step stress test relative to constant stress test is studied in terms of variance ratio, and robustness to preestimates of design parameters are investigated.

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Failure-Time Estimation from Nonlinear Random-Coefficients Model: PDP Degradation Analysis (PDP 열화분석 예제를 통한 랜덤계수모델에서의 고장시간분포 추정)

  • Bae, Suk-Joo;Kim, Seong-Joon
    • Proceedings of the Korean Reliability Society Conference
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    • 2006.05a
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    • pp.181-191
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    • 2006
  • As an alternative to traditional life testing, degradation tests can be effective in assessing product reliability when measurements of degradation leading to failure can be observed. This article proposes a new model to describe the nonlinear degradation paths caused by nano-contamination for plasma display panels (PDPs) : a bi-exponential model with random coefficients. A sequential likelihood ratio test was executed to select random effects in the nonlinear model. Analysis results indicate that the reliability estimation can be improved substantially by using the nonlinear random-coefficients model to incorporate both inherent degradation characteristics and contamination effects of impurities for PDP degradation paths.

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Estimation of Reliability for a Parallel System with Dependent Exponential Components (종속 지수 성분을 가지는 병렬시스템의 신뢰도 추정)

  • 안정향;윤상철
    • Journal of Korea Society of Industrial Information Systems
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    • v.8 no.4
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    • pp.94-100
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    • 2003
  • In this paper, we study the estimation of reliability function for a parallel system with k dependent exponential components. We assume that the failure of one of the k components changes the life distribution of the remaining components. Also, we compare with Cramer-Rna lower bound for variances of the minimum variance unbiased estimator, and the mean square errors of the maximum likelihood estimator of reliability system with the through the Monte Carlo simulation.

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Estimating Defects of Software During Operational Use (소프트웨어의 운전중 결함 예측 기법)

  • Che, Gyu-Shik;Jang, Won-Seok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.10a
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    • pp.397-400
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    • 2001
  • 본 논문에서는 운전 단계중의 상용소프트웨어 성장활용을 설명한 수 있고 또 현장 고장 데이타로부터 활용성장을 예측하는데 관계되는 인자를 결합할 수 있는 새로운 모델을 개발한다. 이 모델은 상용 소프트웨어의 실제 황용이 시간의 멱수 함수로 나타난다는 가정으로부터 생기는 웨이블 분포에 근거한다. 선형신뢰도모델은 잔여결함의 평균크기와 작업량이 일정하고 겉보기 결함밀도가 실제 결함밀도와 동일하다는 가정 하에 유도된다. 기하학적모델은 결함을 수정함에 따라 평균결합크기가 기하학적으로 감소한다는 가정에 있어서 파이가 있다. 한편, Rayleigh모델은 잔여 결함의 평균크기가 시간에 따라 선형적으로 감소한다는 가정에 있어서 차이가 있다. 본 논문에서는 소프트웨어의 신뢰도 요인의 거동을 가정하여 이러한 다양성을 수용하기 위한 모델링을 하였다.

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