• Title/Summary/Keyword: 잔존확률

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Residual life and probability of pipe breakage according to pipe corrosion (상수도관의 부식에 따른 잔존수명 및 파괴확률)

  • Lee, Jae Hyeon;Kim, Hyeong Gi;Kwon, Hyuk Jae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.420-420
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    • 2021
  • 상수도관은 시간이 경과됨에 따라 부식이 발생하고 이로 인해 관의 두께 및 강도가 감소하여 점차 상수도관의 기능을 상실하게 된다. 이러한 노후 상수도관은 누수, 적수 등 수자원에 막대한 경제적인 손실을 발생시키고 사람들에게 많은 불편을 끼친다. 현재 우리나라도 전체 상수도관 중 노후 상수도관이 많은 부분을 차지하고 있기 때문에 교체나 개선이 시급한 실정이다. 하지만 전체 상수도관을 교체하는 것은 막대한 예산이 필요하기 때문에 현실적으로 어려운 문제이다. 따라서 상수도관의 노후도 분석을 통하여 상수관망의 최적 교체 우선순위를 판단하고 교체를 실시하는 것이 필요하다. 본 연구에서는 노후도 분석에 중요한 관의 부식깊이와 잔존수명을 예측하고 신뢰성해석을 통해 파괴확률을 산정하였다. 이를 위해 Romanoff(1957)와 환경부(2002)에서 실측한 상수관의 관종에 따른 관두께 변화를 적용하여 해석하였다. 실측 자료를 통해 부식깊이, 잔존수명 예측 모델을 수립하였으며 이에 따른 관의 파괴확률을 산정하였다. Romanoff(1957)의 혼합강관과 주철관에 대한 실측 자료를 사용하여 상수관의 사용연수가 10년, 20년, 30년 경과됨에 따른 부식깊이와 관파괴확률을 산정하였다. 혼합강관의 경우 사용연수에 따른 부식깊이는 0.57mm, 0.92mm, 1.21mm으로 산정되었으며, 주철관의 경우 0.16mm, 0.24mm, 0.31mm으로 산정되었다. 또한 신뢰성모형을 직경 300mm관에 적용한 결과 최대 상수도압 15kg/cm2에서 혼합강관의 사용연수에 따른 파괴확률은 3.36%, 4.65%, 6.18%로 나타났으며 주철관은 1.36%, 2.50%, 2.68%로 나타났다. 환경부(2002)의 주철관에 대한 부식 실측 자료를 통해 상수관의 사용연수 10년, 20년, 30년 경과에 따른 부식깊이와 관파괴확률을 산정하였으며 초기 관두께 측정 자료를 통해 잔존수명도 예측하였다. 부식깊이는 1.02mm, 1.25mm, 1.41mm으로 산정되었으며, 파괴확률은 5.15%, 6.30%, 7.35%로 산정되었다. 그리고 잔존수명의 경우 부식률이 20%일 때, 잔존수명은 약 30년으로 산정되었다.

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Probabilistic Life Assessment for Stress Corrosion Crack Growth of Thermal Power Plant Components (화력발전설비의 응력부식 균열성장에 대한 확률론적 수명평가)

  • Gang, Myeong-Su
    • Korean Journal of Materials Research
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    • v.10 no.2
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    • pp.138-143
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    • 2000
  • 화력발전설비의 주요 손상 요인 중의 하나인 응력부식 균열 성장에 대한 확률론적 잔존 수명평가에 대하여 연구하였으며, 손상해석 및 수명평가에 확률해석 기법을 도입한 확률론적 수명평가 프로그램을 개발하였다. 확률론적 수명평가는 재료물성치, 형상, 하중조건, 운전조건 등과 같은 불확실성과 변동 가능성을 고려하여 해석을 수행하며, 일정 시간 운전후 구조물의 손상이 일어날 확률을 예측하는 것이다. 응력부식 균열 성장에 대한 확률론적 잔존 수명평가 연구를 통하여 확률론적 수명평가 기술의 기반을 구축하였으며, 다른 손상기구에 대한 확률론적 수명평가를 수행하여 발전설비에 발생하는 모든 손상에 대하여 확률론적 수명평가가 가능하도록 확대할 계획이다.

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Statistical Life Prediction of Corroded Pipeline Using Bayesian Inference (베이지안 추론법을 이용한 부식된 배관의 통계적 수명예측)

  • Noh, Yoojeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.4
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    • pp.2401-2406
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    • 2015
  • Pipelines are used by large heavy industries to deliver various types of fluids. Since this is important to maintain the performance of large systems, it is necessary to accurately predict remaining life of the corroded pipeline. However, predicting the remaining life is difficult due to uncertainties in the associated variables, such as geometries, material properties, corrosion rate, etc. In this paper, a statistical method for predicting corrosion remaining life is proposed using Bayesian inference. To accomplish this, pipeline failure probability was calculated using prior information about pipeline failure pressure according to elapsed time, and the given experimental data based on Bayes' rule. The corrosion remaining life was calculated as the elapsed time with 10 % failure probability. Using 10 and 50 samples generated from random variables affecting the corrosion of the pipe, the pipeline failure probability was estimated, after which the estimated remaining useful life was compared with the assumed true remaining useful life.

AI-based early detection to prevent user churn in MMORPG (MMORPG 게임의 이탈 유저에 대한 인공지능 기반 조기 탐지)

  • Minhyuk Lee;Sunwoo Park;Sunghwan Lee;Suin Kim;Yoonyoung Cho;Daesub Song;Moonyoung Lee;Yoonsuh Jung
    • The Korean Journal of Applied Statistics
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    • v.37 no.4
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    • pp.525-539
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    • 2024
  • Massive multiplayer online role playing game (MMORPG) is a common type of game these days. Predicting user churn in MMORPG is a crucial task. The retention rate of users is deeply associated with the lifespan and revenue of the service. If the churn of a specific user can be predicted in advance, targeted promotions can be used to encourage their stay. Therefore, not only the accuracy of churn prediction but also the speed at which signs of churn can be detected is important. In this paper, we propose methods to identify early signs of churn by utilizing the daily predicted user retention probabilities. We train various deep learning and machine learning models using log data and estimate user retention probabilities. By analyzing the change patterns in these probabilities, we provide empirical rules for early identification of users at high risk of churn. Performance evaluations confirm that our methodology is more effective at detecting high risk users than existing methods based on login days. Finally, we suggest novel methods for customized marketing strategies. For this purpose, we provide guidelines of the percentage of accessed users who are at risk of churn.

Reliability Analysis for Fatigue Damage of Steel Bridge Details (강교 부재의 피로손상에 대한 신뢰성 해석)

  • Park, Yeon Soo;Han, Suk Yeol;Suh, Byoung Chal
    • Journal of Korean Society of Steel Construction
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    • v.15 no.5 s.66
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    • pp.475-487
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    • 2003
  • This study developed an analysis model of estimating fatigue damage using the linear elastic fracture mechanics method. Stress history occurring to an element when a truck passed over a bridge was defined as block loading and crack closure theory explaining load interaction effect was applied. Stress range frequency analysis considering dead load stress and crack opening was done. Probability of stress range frequency distribution was applied and the probability distribution parameters were estimated. The Monte Carlo simulation of generating the probability various of distribution was performed. The probability distribution of failure block numbers was obtained. With this the fatigue reliability of an element not occurring in failure could be calculated. The failure block number divided by average daily truck traffic remains the life of a day. Fatigue reliability analysis model was carried out for the welding member of cross beam flange and vertical stiffener of steel box bridge using the proposed model. Consequently, a 3.8% difference was observed between the remaining life in the peak analysis method and in the proposed analysis model. The proposed analysis model considered crack closure phase and crack retard.

Evaluation of life Expectancy of Power System Equipment Using Probability Distribution (확률분포를 이용한 전력설비의 기대여명 추정)

  • Kim, Gwang-Won;Hyun, Seung-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.10
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    • pp.49-55
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    • 2008
  • This paper presents a novel evaluation method of life expectancy of power system equipment. The life expectancy means expected remaining lifetime; it can be usefully utilized to maintenance planning, equipment replacement planning, and reliability assessment. The proposed method is composed of three steps. Firstly, a cumulative probability for future years is evaluated for targeted age year. Secondly, the cumulative probability is modeled by well-blown cumulative distribution function(CDF) such as Weibull distribution. Lastly, life expectancy is evaluated as the mean value of the model. Since the model CDF is established in the proposed method, it can also evaluate the probability of equipment retirement within specific years. The developed method is applied to examples of generators of combined cycle power plants to show its effectiveness.

A Long-term Durability Prediction for RC Structures Exposed to Carbonation Using Probabilistic Approach (확률론적 기법을 이용한 탄산화 RC 구조물의 내구성 예측)

  • Jung, Hyun-Jun;Kim, Gyu-Seon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.14 no.5
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    • pp.119-127
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    • 2010
  • This paper provides a new approach for durability prediction of reinforced concrete structures exposed to carbonation. In this method, the prediction can be updated successively by a Bayes' theorem when additional data are available. The stochastic properties of model parameters are explicitly taken into account in the model. To simplify the procedure of the model, the probability of the durability limit is determined based on the samples obtained from the Latin Hypercube Sampling(LHS) technique. The new method may be very useful in design of important concrete structures and help to predict the remaining service life of existing concrete structures which have been monitored. For using the new method, in which the prior distribution is developed to represent the uncertainties of the carbonation velocity using data of concrete structures(3700 specimens) in Korea and the likelihood function is used to monitor in-situ data. The posterior distribution is obtained by combining a prior distribution and a likelihood function. Efficiency of the LHS technique for simulation was confirmed through a comparison between the LHS and the Monte Calro Simulation(MCS) technique.

A Study on the life and reliability of helical gear system (헬리컬 기어장치의 수명 및 신뢰성에 관한 연구)

  • 김하수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1997.10a
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    • pp.265-270
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    • 1997
  • Helical gear system is utilized to transmit motion between parallel shafts. The axial thrust loads on the shafts are existed. On each of the support shafts, at least one of the bearings should be able to support the axial loads. The reliability and life analysis are based on the two-parameter Weibull distribution lives of the component gears and bearings. The computer calculates the system lives and dynamic capacities of the components and their system. The system life is defined as the life of the component or the helical gear system at an output torque at which the probability of survival is ninety percent.

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Lifetime Prediction of Existing Highway Bridges Using System Reliability Approach (실제 교량의 시스템 신뢰성해석에 기초한 수명예측)

  • Yang, Seung Ie
    • Journal of Korean Society of Steel Construction
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    • v.14 no.2
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    • pp.365-373
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    • 2002
  • In this paper, the system reliability concept was presented to predict the lifespan of bridges. Lifetime distribution functions (survivor functions) were used to model real bridges to predict their remaining life. Using the system reliability concept and lifetime distribution functions (survivor functions), a program called LIFETIME was developed. The survivor functions give the reliability of component at time t. The program was applied to an existing Colorado state highway bridge to predict the failure probability of the time-dependent system. The bridge was modeled as a system, with failure probability computed using time-dependent deteriorating models.

A Study on the Survived Records Related to Building Cheongnamdae (청남대 건립 관련 잔존 기록물 조사 연구)

  • Chung, Sanghee
    • The Korean Journal of Archival Studies
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    • no.47
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    • pp.161-193
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    • 2016
  • Cheongnamdae is public building which was built in 1983. Cheongnamda had been used for the exclusive villa for Presidents of Korea from then until 2003 when it opened to the public. Because of public building, public records would have been produced during the construction process. The records of public institutions are generally managed and destroyed according to retention schedule. Considering the retention schedule of those days, it is more likely that most of records which would show the accountability about building Cheongnamdae do not remain. But regardless of retention period, those records may be left, so we need to confirm existence of the records. The purpose of this study is to examine whether the records related to the construction remain or not. For the examination, I make a list of the records which are supposed to be created during the construction process. Then I identify whether those records are preserved in records-creating institutions or national archives or not. And I suggest the selection strategy of the records of existing public buildings and show the direction for managing the records of public buildings to be built.