• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.329-335
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• 2019

Reliability growth analysis was conducted for a guided weapons system. In the development phase, reliability management activities were continuously carried out by identifying failure modes and causes and analyzing faults found during the testing. The missile system consists of an all-up-round missile and a launcher, and the analysis was carried out according to the test results of each system. The test results for the all-up-round missile were obtained with discrete data, which were success and failure as a one-shot-device. The test results for the launcher were obtained with continuous data by operating the equipment continuously in the test. For each test result, the reliability growth model was applied to the Standard Gompertz model and the Crow-Extended model. The models were used to identify the growth analysis results of the test so far. It was also possible to predict the reliability growth results by assuming the future test results. The study results could be useful in achieving the desired reliability goal and in determining the number of tests. Then, the planned test will be confirmed and the growth analysis of the missile system will continuously be conducted.

• Journal of the Korean Society for Railway
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• v.18 no.3
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• pp.186-193
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• 2015

In this paper, a reliability growth analysis for a next-generation high-speed train was conducted. First, the high-speed train was decomposed into 6 sub-systems and main equipment of the high-speed train was derived from functional diagrams. Next, failure rates were calculated for each sub-system from the failure data obtained during commissioning tests. Then, reliability growth analysis was conducted for the high-speed train using the Duane model. The results show that activities to increase reliability were carried out throughout the test runs from the reliability growth results.

• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1451-1458
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• 2004

Current software reliability growth models based on Gompertz growth curve are all logarithmic type. Software reliability growth models based on logarithmic type Gompertz growth curve has difficulties in parameter estimation. Therefore this paper proposes a software reliability growth model based on the logistic type Gompertz growth curie. Its usefulness is empirically verified by analyzing the failure data sets obtained from 13 different software projects. The parameters of model are estimated by linear regression through variable transformation or Virene's method. The proposed model is compared with respect to the average relative prediction error criterion. Experimental results show that the pro-posed model performs better the models based on the logarithmic type Gompertz growth curve.

• The Transactions of the Korea Information Processing Society
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• v.4 no.2
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• pp.395-400
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• 1997

An important quality characteristic of a software reliability.Software reliablilty growh models prvied the tools to evluate and moniter the reliabolty growth behavior of the sofwate during the testing phase Therefore failure data collected during the testing phase should be continmuosly analyzed on the basis of some selected software reliability growth models.For the cases where nonhomogeneous Poisson proxess models are the candiate models,we suggest Poisson regression model, which expresses the relationship between the expeted and actual failures counts in disjonint time intervals,for analyzing the failure count data.The weighted lest squares method is then used to-estimate the paramethers in the parameters in the model:The resulting estimators are equivalent to the maximum likelihood estimators. The method is illustrated by analyzing the failutr count data gathered from a large- scale switchong system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.406-418
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• 2020

When developing weapons systems, it is important to implement the functions and performance of equipment suitable for development purposes, but it is very important to ensure that the equipment is capable of operating without any vacuum with reliability after development. Therefore, various activities are carried out to enhance reliability of equipment. Reliability is enhanced by using high-specification parts in development, reliability verification through analysis, and testing using development prototypes to reinforce and improve the parts that are lacking in equipment. However, recently, development schedules are shortened due to rapidly changing external conditions and technologies, and there are cases where sufficient reliability growth activities were not carried out due to problems such as cost. Examples are projects that perform reliability activities only in analytical methods (reliability, FMECA). In this paper, analyzing and testing methods for analysis and testing were carried out on the same equipment through FMECA and super-accelerated life test, the contents of reliability growth activity were derived, the results of design change/review were accordingly compared, the differences between the two methods were analyzed, and measures were proposed to strengthen reliable growth activities. It was concluded that reliable growth activities through analysis from the beginning of development and reliable growth activities through testing should be carried out at the completion of initial prototype production.

• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3384-3393
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• 2000

소프트웨어를 테스팅하는 동안 얻어지는 고장 데이터를 분석하여 소프트웨어의 신뢰성이 성장하는 과정을 평가하기 위해 여러 가지 소프트웨어 신뢰성 성장 모델들이 개발되었다. 그러나 이들 신뢰성 성장 모델들은 소프트웨어 개발과 사용환경에 관한 여러 가지 가정에 기반하고 있기 때문에, 이 가정이 적합하지 않은 상황이나 결함이 드물게 발생되는 소프트웨어에 대해서는 적절하지 않다. 입력영역에 기초한 소프트웨어 신뢰성 모델은 일반적으로 이러한 가정을 요구하지 않는데 디버깅 전의 소프트웨어와 디버깅 후의 소프트웨어를 별개의 것으로 다루어 많은 테스트 입력을 요하는 단점이 있다. 본 논문에서는 이러한 가정이 요구되지 않고 디버깅 전과 후의 소프트웨어를 동시에 테스트하는 방법에 기반을 둔 입력 영역 기반 소프트웨어 성장모델을 제안하고 그 통계적 특성을 조사한다. 이 모델은 모든 데이터를 다 활용하기 때문에 기존 입력영역 소프트웨어 신뢰성 모델에 비해 적은 테스트 입력을 필요로 할 것으로 기대된다. 그리고 소프트웨어의 유지보수 단계에 적용하기 위해 개발된 유사한 방법들과 비교한다.

• Journal of the Korea Society of Computer and Information
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• v.1 no.1
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• pp.195-210
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• 1996

For predicting the parameters and estimating the goodness of fit reliability growth model based on NHPP(Non Homogeneous Poission Process) among various reliability growth models, a Delayed S Shaped SRGM Tool is designed and Implemented. The Implemented tool is applied to real software error data, and the result Is compared and annalized.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.05a
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• pp.350-353
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• 2009

In the fatigue analysis and the components design, uncertainties are caused by the variances of geometry data and applied loads, and the scatter of material properties. In this paper, fatigue crack growth life of turbine is evaluated by fracture mechanics and the reliability analysis is accessed by the fist order second moment method and Monte Carlo simulation.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.5
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• pp.675-682
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• 2013

Reliability analysis and prediction of next failure time is critical to sustain weapon systems, concerning scheduled maintenance, spare parts replacement and maintenance interventions, etc. Since 1981, many methodology derived from various probabilistic and statistical theories has been suggested to do that activity. Nowadays, many A.I. tools have been used to support these predictions. Support Vector Regression(SVR) is a nonlinear regression technique extended from support vector machine. SVR can fit data flexibly and it has a wide variety of applications. This paper utilizes SVM and SVR with combining time series to predict the next failure time based on historical failure data. A numerical case using failure data from the military equipment is presented to demonstrate the performance of the proposed approach. Finally, the proposed approach is proved meaningful to predict next failure point and to estimate instantaneous failure rate and MTBF.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.190-202
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• 2013

Government has been doing policy PR to acquire policy support and government trust of people. Because it is believed that policy support and government trust of people can be a driving force of government activity. In this perspective, this study analyzed the effects of government's policy PR on the policy support and government trust of people focusing on the corporation partnership policy. According to the results, first people who have more positive attitude to the policy PR activity and its result, they have more positive attitude to the policy and its support. Second, people who have positive attitude to the corporation partnership policy, they have more positive attitude to the policy support. Third, people who have more positive attitude to policy support, they have more government trust(professionalism, ethicality, reliability). These results show that policy PR is effective method for inducing policy support and government trust of people. And for improving government trust. it is needed not only policy PR but also fair and transparent execution of policy.