• 제목/요약/키워드: failure rate estimation

검색결과 147건 처리시간 0.027초

천연가스 압축기 설계 단계에서 FTA를 이용한 수명 예측 연구 (The Study on the Lifetime Estimation using Fault Tree Analysis in Design Process of LNG Compressor)

  • 한용식;도규형;김태훈;김명배;최병일
    • 한국수소및신에너지학회논문집
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    • 제26권2호
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    • pp.192-198
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    • 2015
  • Fault Tree Analysis to predict the lifetime in the design process of LNG compressor is considered. Fault Trees for P & ID of the compressor are created. Individual components that comprise the compressor are configured with the basic event. The failure rates in the PDS and OREDA are applied. As results, the system failure rate and the reliability over time are obtained. Further, the power transmission and the shaft seal system is confirmed to confidentially importantly contribute to the overall lifetime of the system. These techniques will help to improve the reliability of design of large scale machinery such as a plant.

Reliability estimation and ratio distribution in a general exponential distribution

  • Lee, Chang-Soo;Moon, Yeung-Gil
    • Journal of the Korean Data and Information Science Society
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    • 제25권3호
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    • pp.623-632
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    • 2014
  • We shall consider the estimation for the parameter and the right tail probability in a general exponential distribution. We also shall consider the estimation of the reliability P(X < Y ) and the skewness trends of the density function of the ratio X=(X+Y) for two independent general exponential variables each having different shape parameters and known scale parameter. We then shall consider the estimation of the failure rate average and the hazard function for a general exponential variable having the density function with the unknown shape and known scale parameters, and for a bivariate density induced by the general exponential density.

SHPB 기법과 확률이론을 이용한 고분자재료의 동적거동특성 및 건전성 평가 (Reliability Estimation and Dynamic Deformation of Polymeric Material Using SHPB Technique and Probability Theory)

  • 이억섭;김동혁
    • 대한기계학회논문집A
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    • 제32권9호
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    • pp.740-753
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    • 2008
  • The conventional Split Hopkinson Pressure Bar (C-SHPB) technique with aluminum pressure bars to achieve a closer impedance match between the pressure bars and the specimen materials such as hot temperature degraded POM (Poly Oxy Methylene) and PP (Poly Propylene) to obtain more distinguishable experimental signals is used to obtain a dynamic behavior of material deformation under a high strain rate loading condition. An experimental modification with Pulse shaper is introduced to reduce the nonequilibrium on the dynamic material response during a short test period to increase the rise time of the incident pulse for two polymeric materials. For the dynamic stress strain curve obtained from SHPB experiment under high strain rate, the Johnson-Cook model is applied as a constitutive equation, and we verify the applicability of this constitutive equation to the probabilistic reliability estimation method. The methodology to estimate the reliability using the probabilistic method such as the FORM and the SORM has been proposed, after compose the limit state function using Johnson-Cook model. It is found that the failure probability estimated by using the SORM is more reliable than those of the FORM, and the failure probability increases with the increase of applied stress. Moreover, it is noted that the parameters of Johnson-Cook model such as A and n, and applied stress affect the failure probability more than the other random variables according to the sensitivity analysis.

로그형 관측고장시간에 근거한 결함 발생률을 고려한 소프트웨어 비용 모형에 관한 비교 연구 (The Comparative Software Cost Model of Considering Logarithmic Fault Detection Rate Based on Failure Observation Time)

  • 김경수;김희철
    • 디지털융복합연구
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    • 제11권11호
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    • pp.335-342
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    • 2013
  • 본 연구에서는 소프트웨어 제품 테스팅 과정에서 관측고장시간에 근거한 로그형 결함 발생률을 고려한 소프트웨어 신뢰성 비용 모형에 대하여 연구 하였다. 신뢰성 분야에서 많이 사용되는 Goel-Okumoto모형을 이용한 새로운 로그 형 결함 확률을 반영한 문제를 제시하였다. 수명분포는 유한고장 비동질적인 포아송과정을 이용하고 모수 추정법은 최우 추정법을 이용 하였다. 따라서 본 논문에서는 로그형 결함 발생률을 고려한 소프트웨어 비용모형 분석을 위하여 소프트웨어 고장 시간간격 자료를 적용하여 비교 분석하였다. 이 연구를 통하여 소프트웨어 개발자들은 방출최적시기를 파악 하는데 어느 정도 도움을 줄 수 있을 것으로 사료 된다.

Ball Grid Array 63Sn-37Pb Solder joint 의 건전성 평가 (Reliability Estimation of Ball Grid Array 63Sn-37Pb Solder Joint)

  • 명노훈;이억섭;김동혁
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.630-633
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    • 2004
  • Generally, component and FR-4 board are connected by solder joint. Because material properties of components and FR-4 board are different, component and FR-4 board show different coefficients of thermal expansion (CTE) and thus strains in component and board are different when they are heated. That is, the differences in CTE of component and FR-4 board cause the dissimilarity in shear strain and BGA solder joint s failure. The first order Taylor series expansion of the limit state function incorporating with thermal fatigue models is used in order to estimate the failure probability of solder joints under heated condition. A model based on plastic-strain rate such as the Coffin-Manson Fatigue Model is utilized in this study. The effects of random variables such as frequency, maximum temperature, and temperature variations on the failure probability of the BGA solder joint are systematically investigated by using a failure probability model with the first order reliability method(FORM).

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고객의 지연보고를 고려한 보증수리내역자료에서의 고장률 추정 (Estimating Failure Rate Using Warranty Claim Data with Delayed Report of Customers)

  • 박종훈;김영훈;백장현;이창훈
    • 산업공학
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    • 제23권2호
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    • pp.176-181
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    • 2010
  • Warranty claim data analysis is a useful tool for the manufacturer because it contains many useful informations regarding reliability of the product in the real-world environments. Because of the nature of uncertainty and the incompleteness of data, some bias patterns are observed on warranty claim rate known as 'spikes'. Two types of spikes are considered. One is due to manufacturing-related failures. The other is caused by customer's behavior. This paper proposes a model by considering two types of spikes. Warranty claim data is analyzed with the proposed model. To represent spikes observed on the early warranty period, we classify failures into manufacturing-related failures and usage-related failures. Uniform distribution is assumed for the time delayed to diagnose and report by customers. By reducing maximum value of the delayed time by customers, the proposed model characterizes customer's rush in the vicinity of the warranty expiration limit. Experimental results by using the real warranty claim data show that the proposed model is better than the existing one in respect to MSE(Mean Squared Error). Moreover it is expected to estimate the failure rate more realistically with proposed model because it considers the delayed time to diagnose and report by customers.

상수도 주철 배수관로의 파손자료 유형에 따른 파손율 모형화와 수정된 시간척도를 이용한 최적교체시기의 산정 (Modeling of Rate-of-Occurrence-of-Failure According to the Failure Data Type of Water Distribution Cast Iron Pipes and Estimation of Optimal Replacement Time Using the Modified Time Scale)

  • 박수완;전환돈;김정욱
    • 한국수자원학회논문집
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    • 제40권1호
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    • pp.39-50
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    • 2007
  • 본 논문에서는 대수-선형 파손율 모형(log-linear ROCOF)과 와이블 파솔율 모형(Weibull ROCOF)을 이용하여 상수도 주철 배수관로의 파손율을 모형화하고, '수정된 시간 척도'를 이용하여 최적교체시기를 산정할 수 있는 방법이 개발되었다. 두 ROCOF의 모형화를 위하여 개별 관로의 파손시간을 기록한 '파손 시간자료(failure-time data)'와 일정 시간간격 사이에서 발생하는 파손횟수를 기록한 '파손 횟수자료(failure-number data)'를 이용하였고, 최대로그우도 추정값을 이용하여 두 ROCOF의 각 파손자료 유형에 대한 모형화 수행 능력을 검증하였다. 또한 두 ROCOF를 이용한 관로의 최적교체시기 방정식은 ROCOF의 매개변수 추정에 있어서 수렴성을 보장하기 위하여 '수정된 시간 척도'를 적용하여 유도하였다. 연구대상 주철 배수 관로들의 '파손 시간자료'와 '파손 횟수자료'에 두 파손율 모형을 적용시켜 본 결과 파손 시간자료를 이용할 경우 대수-선형 ROCOF가 와이블 ROCOF 보다 적합한 모형인 것으로 나타났다. 또한 두 모형 모두 '파손 시간자료'를 이용하는 것이 '파손 횟수자료'를 이용하는 것보다 모형화 수행 능력이 높아지는 것으로 나타나서, 분석에 사용된 관로의 파손율 모형화와 최적교체시기 산정을 위해서는 일정 시간간격 동안의 관로 파손횟수를 기록하는 것보다 관로의 파손시간을 기록하는 것이 더욱 우수한 모형화 결과를 낳는 것으로 나타났다.

균열발생시기 결정을 위한 항공기 엔진 구성품의 비파괴검사 결과에 대한 통계적 분석 (Statistical Analysis for NDI Results of Aircraft Engine Component for Determining Crack Initiation Period)

  • 최재만;권영한;최환서;양승효;우상욱;조순미;이승주
    • 대한기계학회논문집A
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    • 제33권12호
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    • pp.1482-1487
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    • 2009
  • In this study statistical analysis was performed for NDI(Non-Destructive Inspection) results of F100 engine front seal support assembly. NDI results can be statistically considered as Quantal Response Data. It is found that the suitable probability distribution to the failure data is normal distribution through MLE(Maximum Likelihood Estimation) of the Quantal Response Data. Moreover, Cumulative Distribution Function, failure rate function and B-Life are calculated on the supposed distribution.

비-동질 안정 프로세스 기반 임베디드 시스템 소프트웨어의 신뢰성 특성에 관한 연구 (A study on the Reliability System Software based on NHPP(Non-Homogeneous Poisson Process)

  • 한상섭;백영구;이근석;전현덕;류호중;이기서
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2001년도 춘계학술대회 논문집
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    • pp.347-358
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    • 2001
  • In this paper, we apply NHPP model example to s/w process in order to get to know s/w reliability. The test is constructed by a test zig of commercial product loaded real embedded system s/w. It is established to s/w reliability prediction and estimation of real-time embedded system s/w. It is computed the prediction value of cumulative failures, the failure intensity, the reliability and the estimation value of MTTF, Failure Rate. To the more realization of high reliability in the real-time embedded system s/w, if the embedded system s/w is ensured to the test coverage and constructed to stable s/w process & operating system, we can improve the performance and the reliability characteristic of the real-time embedded system s/w.

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GENERALIZED LINDLEY DISTRIBUTION USING PROPORTIONAL HAZARD FAMILY AND INFERENCE OF FAILURE TIME DATA

  • Ahmed AL-Adilee;Hawraa A. AL-Challabi;Hassanein Falah;Dalael Saad Abdul-Zahra
    • Nonlinear Functional Analysis and Applications
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    • 제28권3호
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    • pp.793-800
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    • 2023
  • In this paper, we propose a generalization of Lindley distribution (GLD) via a special structure that is concern with progressively Type-II right censoring and time failure data. We study the modern properties that we have built by such combination, for example, survival function, hazard function, moments, and estimation by non-Bayesian methods. Application on some selected data related to Lindley distribution (LD) and (ED) have been employed to find out the best distribution that can fit data comparing with the GLD.