• Title/Summary/Keyword: Reliability growth

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A Study on the Reliability Growth of Multiple Launch Rocket System Using Accelerated Life Testing (가속수명시험을 이용한 다련장 발사대 신뢰도 성장 연구)

  • Lee, Yongjun;Ryu, Jeongmin;Son, Kwonil;Song, Seokbong;Kim, Sangboo;Park, Woojae
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.2
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    • pp.241-248
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    • 2019
  • In this paper, we aim to check the reliability growth of multiple launch rocket components by the life evaluation. We apply the Crow-AMSAA model to the sets of test data obtained from the development phase. The result of the data analysis shows that the reliability of some components needs to be improved. In order to improve their reliability, we analyze the failure mechanism and change their designs. The verification of the reliability growth for those components is done by analyzing the data sets obtained by the accelerated life tests. As a result, we show that the MTBF of those components is increased and also their reliabilities improved.

A Coverage Function for Arbitrary Testing Profile and Its Performance

  • Park Joong-Yang;Fujiwara Takaji;Park Jae-Heung
    • International Journal of Reliability and Applications
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    • v.6 no.2
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    • pp.87-99
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    • 2005
  • Coverage-based software reliability growth models (SRGMs) have been developed and successfully applied in practice. Performance of a coverage-based SRG M depends on the coverage function employed by the SRGM. When the coverage function represents the coverage growth behavior well irrespective of type of the testing profile the corresponding coverage-based SRGM is expected to be widely applicable. This paper first conducts a study of selecting the most representative coverage functions among the available coverage functions. Then their performances are empirically evaluated and compared. The result provides a foundation for developing widely applicable coverage-based SRGMs and monitoring the progress of a testing process.

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An Imperfect Debugging Software Reliability Growth Model with Change-Point (변화점을 갖는 불완전수정 소프트웨어 신뢰도 성장모형 연구)

  • Nam, Kyung-H.;Kim, Do-Hoon
    • Journal of Korean Society for Quality Management
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    • v.34 no.4
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    • pp.133-138
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    • 2006
  • In this paper, we propose a software reliability growth model (SRGM) based on the testing domain, which is isolated by the executed test cases. This model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process. We consider that the fault detection rate of NHPP model is changed in the proposed SRGM. We obtain the maximum likelihood estimate, and compare goodness-of-fit with another existing software reliability growth model.

Lloyds Register Asia Rail Systems Reliability Lifecycle Management

  • Jonathan, Bouchard
    • Proceedings of the KSR Conference
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    • 2003.10a
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    • pp.27-43
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    • 2003
  • Reliability Lifecycle from Concept to In-Service Operation and Maintenance. Reliability management must consider - SAFETY - SERVICE REQUIREMENTS. Reliability targets/objectives can be specified at feasibility stage. Reliability analysis to support design process. Reliability assessment to support reliability growth or contractual demonstration. Maintenance optimisation to improve reliability during lifetime of operation. Lessons learnt incorporated into next generation of trains.

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A Study on Reliability Growth of P-3 Essential Avionic Equipments and Operational Availability Simulation (해상초계기 주요 항공전자장비 신뢰도 성장 분석 및 운용가용도 시뮬레이션)

  • Park, Jihoon;Ma, Jungmok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.2
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    • pp.168-175
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    • 2020
  • Failure of essential avionic equipments have a significant impact on the operations and safety of P-3 maritime patrol aircraft. Therefore, avionic equipments of P-3 are required to have higher reliability. Based on the field failure data, this paper studies the reliability growth of essential avionic equipments in P-3 using Duane model. Additionally, a simulation model is built and implemented for identifying the operational availability according to the field failure data of avionic equipments.

A Bayesian Approach to Software Optima I Re lease Policy (소프트웨어 최적출하정책의 베이지안 접근방법)

  • 김희수;이애경
    • Proceedings of the Korean Reliability Society Conference
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    • 2002.06a
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    • pp.273-273
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    • 2002
  • In this paper, we investigate a software release policy with software reliability growth factor during the warranty period by assuming that the software reliability growth is assumed to occur after the testing phase with probability p and the software reliability growth is not assumed to occur after the testing phase with probability 1-p. The optimal release policy to minimize the expected total software cost is discussed. Numerical examples are shown to illustrate the results of the optimal policy. And we consider a Bayesian decision theoretic approach to determine an optimal software release policy. This approach enables us to update our uncertainty when determining optimal software release time, When the failure time is Weibull distribution with uncertain parameters, a bayesian approach is established. Finally, numerical examples are presented for illustrative propose.

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A Study on Software Reliability Assessment Model of Superposition NHPP (중첩 NHPP를 이용한 소프트웨어 신뢰도 평가 모형 연구)

  • Kim, Do-Hoon;Nam, Kyung-H.
    • Journal of Korean Society for Quality Management
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    • v.36 no.1
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    • pp.89-95
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    • 2008
  • In this paper, we propose a software reliability growth model based on the superposition cause in the software system, which is isolated by the executed test cases in software testing. In particular, our model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process, and is formulated as a nonhomogeneous Poisson process(NHPP). Further, it is applied to fault-detection data, the results of software reliability assessment are shown, and comparison of goodness-of-fit with the existing software reliability growth model is performed.

Two model comparisons of software reliability analysis for Burr type XII distribution

  • An, Jeong-Hyang
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.4
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    • pp.815-823
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    • 2012
  • In this paper reliability growth model in which the operating time between successive failure is a continuous random variable is proposed. This model is for Burr type XII distribution with two parameters which is discussed in two versions: the order statistics and non-homogeneous Poisson process. The two software reliability measures are obtained. The performance for two versions of the suggested model is tested on real data set by U-plot and Y-plot using Kolmogorov distance.

Bayesian Approach for Software Reliability Growth Model with Random Cost

  • Kim Hee Soo;Shin Mi Young;Park Dong Ho
    • Proceedings of the Korean Reliability Society Conference
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    • 2005.06a
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    • pp.259-264
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    • 2005
  • In this paper, we generalize the software reliability growth model by assuming that the testing cost and maintenance cost are random and adopts the Bayesian approach to determine the optimal software release time. Numerical examples are provided to illustrate the Bayesian method for certain parametric models.

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Reliability Estimation for Crack Growth Life of Turbine Wheel Using Response Surface (반응표면을 사용한 터빈 휠의 균열성장 수명에 대한 신뢰성 평가)

  • Jang, Byung-Wook;Park, Jung-Sun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.4
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    • pp.336-345
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    • 2012
  • In crack growth life, uncertainties are caused by variance of geometry, applied loads and material properties. Therefore, the reliability estimation for these uncertainties is required to keep the robustness of calculated life. The stress intensity factors are the most important variable in crack growth life calculation, but its equation is hard to know for complex geometry, therefore they are processed by the finite element analysis which takes long time. In this paper, the response surface is considered to increase efficiency of the reliability analysis for crack growth life of a turbine wheel. The approximation model of the stress intensity factors is obtained by the regression analysis for FEA data and the response surface of crack growth life is generated for selected factors. The reliability analysis is operated by the Monte Carlo Simulation for the response surface. The results indicate that the response surface could reduce computations that need for reliability analysis for the turbine wheel, which is hard to derive stress intensity factor equation, successfully.