• International Journal of Reliability and Applications
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• 제2권3호
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• pp.209-240
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• 2001

Computer-based simulation and analysis is used extensively in engineering for a variety of tasks. Despite the steady and continuing growth of computing power and speed, the computational cost of complex high-fidelity engineering analyses and simulations limit their use in important areas like design optimization and reliability analysis. Statistical approximation techniques such as design of experiments and response surface methodology are becoming widely used in engineering to minimize the computational expense of running such computer analyses and circumvent many of these limitations. In this paper, we compare and contrast five experimental design types and four approximation model types in terms of their capability to generate accurate approximations for two engineering applications with typical engineering behaviors and a wide range of nonlinearity. The first example involves the analysis of a two-member frame that has three input variables and three responses of interest. The second example simulates the roll-over potential of a semi-tractor-trailer for different combinations of input variables and braking and steering levels. Detailed error analysis reveals that uniform designs provide good sampling for generating accurate approximations using different sample sizes while kriging models provide accurate approximations that are robust for use with a variety of experimental designs and sample sizes.

• 전기학회논문지
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• 제66권12호
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• pp.1712-1720
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• 2017

In South Korea, minimum reserve rate, which is to satisfy reliability standard, has been determined by simulation result using WASP. But, it is still controversial whether the level of minimum reserve rate is adequate. Thus, in this study, various analyses of minimum reserve rate are being conducted. WASP uses the probabilistic simulation technique to evaluate whether reliability standard is satisfied. In this process, forced outage rate and maintenance periods of each generator play important roles. Especially, the long-term plan can be varied depending on how maintenance periods deal with. In order to model maintenance periods in the probabilistic simulation technique, WASP uses derating method. However, broad analyses have to be conducted because there are various ways including derating method to model maintenance periods which result in different results. Therefore, in this paper, 3 different maintenance outage rate modeling methods are applied to arbitrarily modeled system based on the basic plan for long-term electricity supply and demand of South Korea. Results show impact of each modeling method on minimum reserve rate.

• 임상간호연구
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• 제29권2호
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• pp.186-197
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• 2023

Purpose: The purpose of this study was to develop a scale to measure professionalism of clinical nurses and evaluate the reliability and validity of the scale. Methods: DeVellis's scale-development eight steps were applied. The initial items were developed through a literature review and discussion with investigators, and the content validity was verified by seven experts. The data were collected from 250 hospital nurses for exploratory factor analysis and 217 hospital nurses for confirmatory factor analysis. Exploratory and confirmatory factor analyses were utilized to assess the construct validity. Cronbach's ⍺ was used to test the internal consistency reliability. Results: The results of the exploratory and confirmatory factor analyses showed that the scale comprised four factors: professional skill(eight items), sense of ethics (five items), knowledge-seeking activities (four items), and autonomy(three items). The four-factor structure was validated (x 2 =600.85 p<.001, GFI=.88, CFI=.84, RMSEA=.07), and Cronbach's ⍺ for the total scale was .84. Conclusion: The study results showed satisfactory reliability and validity of the professionalism measurement scale for clinical nurses. This scale has potential as an appropriate instrument for measuring clinical nurse professionalism.

• Physical Therapy Rehabilitation Science
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• 제12권3호
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• pp.346-354
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• 2023

Objective: The objective of this study is to provide medical institutions with theoretical basis by analyzing the effect of service quality-related factors. It will be helpful for hospitals to enhance service quality which will be of use to attain customer satisfaction and ultimately competitive advantage. Design: An empirical study. Methods: To verify the model, I conducted a questionnaire survey analysis. Items for measurement have been extracted from several related studies on medical industry. The survey target has been set by convenience sampling method and consists of citizens reside in Seoul and Gyeonggi-do Province, and total number of 161 samples have been analyzed. To verify validity and reliability, I conducted factor analysis and reliability analysis, and for hypotheses verification, multiple regression analyses have been performed. Results: This study aims to investigate the relation between service quality factors and customer satisfaction, and also those factors and customer loyalty. Service quality factors consist of Tangibles(X1), Reliability(X2), Assurance(X3), Responsiveness(X4), and Empathy(X5). According to the results of regression analyses, X1, X2, X3, and X5 have been proved to have positive relations with customer satisfaction and loyalty, whereas hypothesis related X4 has not been supported. Finally, customer satisfaction has been founded to affects positively to customer loyalty. Conclusions: Service quality factors are significantly related to customer satisfaction and loyalty. So medical institutions should aware of this and try to enhance service quality for attaining competitive advantage.

• 대한조선학회논문집
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• 제31권1호
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• pp.142-154
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• 1994

본 논문에서는 정하중을 받는 보강 원통형 쉘의 확률론적 초기결함 민감도 해석을 수행하였다. Donnell의 쉘이론, Galerkin 근사법에 의거 좌굴하중 도출을 위한 다중모드 정식화를 수행하고 이에 random한 기하학적 초기결함의 확률장 이론 및 응답면 기법을 결합하였다. 계산된 확률론적 좌굴하중 결과로부터 신뢰도 지수-하중, 신뢰도 지수-안전계수의 관계를 구할 수 있고 이를 이용하면 요구되는 안전계수의 범위, 허용가능 초기결함의 범위 설정이 가능할 것이다.

• Structural Engineering and Mechanics
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• 제65권6호
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• pp.751-760
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• 2018

Damages in concrete structures due to aging and other factors could be a serious and immense matter. Making the best selection of the most viable and practical repairing and strengthening techniques are relatively difficult tasks using traditional methods of structural analyses. This is due to the fact that the traditional methods used for assessing aging structure are not fully capable when considering the randomness in strength, loads and cost. This paper presents a reliability-based methodology for assessing reinforced concrete members. The methodology of this study is based on probabilistic analysis, using statistics of the random variables in the performance function equations. Principles of reliability updating are used in the assessment process, as new information is taken into account and combined with prior probabilistic models. The methodology can result in a reliability index ${\beta}$ that can be used to assess the structural component by comparing its value with a standard value. In addition, these methods result in partial safety factor values that can be used for the purpose of strengthening the R/C elements of the existing structure. Calculations and computations of the reliability indices and the partial safety factors values are conducted using the First-order Reliability Method and Monte Carlo simulation.

• International Journal of Reliability and Applications
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• 제1권1호
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• pp.89-104
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• 2000

Accelerated testing consists of a variety of test methods for shortening the life of products or hastening the degradation of their performance. This paper presents practical, modern statistical methods for evaluating the reliability of Nickel-Cadmium batteries at their design temperature of 2$0^{\circ}C$ by accelerated life test. Batteries have been life tested at three high temperature conditions, 50, 60, 7$0^{\circ}C$, respectively to yield failures quickly. The failures have been observed and judged by means of charge and discharge current integration. Analyses of life data from those conditions resulted in the Weibull distribution, which has been verified on the ground of the Kolmogorov-smirnov test and the pairwise t-test. Life data are modeled according to the Arrhenius life-temperature relationship. The mean life of tested batteries is assessed at about 590 cycles, and the activation energy of this chemical reaction is concluded to be 0.39eV as results. This study provides procedures for estimating the reliability of batteries in a short period, which has little been possible in domestic industries. The results can be applied in many fields such as proof testing, acceptance testing, and estimating assurance periods.

• 한국공작기계학회논문집
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• 제14권1호
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• pp.15-23
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• 2005

For reliability assessment for machine tools, failure mode analyses by two viewpoints were studied in this paper. First, this study developed the reliability data analysis program, which searches f3r optimal failure distribution like failure rate or MTBF(Mean Time Between Failure) using failure data and reliability test data of mechanical parts in the web. Moreover, this data analysis program saves both failure data or reliability data and their failure rate or MTBF for database establishment. Second, this paper conducted failure mode analysis through such performance tests as circular movement test and vibration testing for machine tools when reliability data is not available. A developed web-based analysis program shows correlations between failure mode and performance test result and also accumulates all the data. These kinds of data analysis programs and stored data furnish valuable information for improving the reliability of mechanical system.

• Nuclear Engineering and Technology
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• 제51권1호
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• pp.45-53
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• 2019

Thermal-hydraulic passive safety systems (PSSs) are incorporated into many advanced reactor designs on the bases of simplicity, economics and inherent safety nature. Several factors among which are the critical parameters (CPs) that influence failure and reliability of thermal-hydraulic (t-h) passive systems are now being explored. For simplicity, it is assumed in most reliability analyses that the CPs are independent whereas in practice this assumption is not always valid. There is need to critically examine the dependency influence of the CPs on reliability of the t-h passive systems at design stage and in operation to guarantee safety/better performance. In this paper, two multivariate analysis methods (covariance and conditional subjective probability density function) were presented and applied to a simple PSS. The methods followed a generalized procedure for evaluating t-h reliability based on dependency consideration. A passively water-cooled steam generator was used to demonstrate the dependency of the identified key CPs using the methods. The results obtained from the methods are in agreement and justified the need to consider the dependency of CPs in t-h reliability. For dependable t-h reliability, it is advisable to adopt all possible CPs and apply suitable multivariate method in dependency consideration of CPs among other factors.

• 한국해안해양공학회지
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• 제15권4호
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• pp.214-223
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• 2003

신뢰성 기법을 도입하여 경사식 해안 구조물에 발생하는 월파현상을 해석하였다. 월파와 관련된 많은 변수를 고려할 수 있을 뿐만 아니라 예측능력이 우수하다고 판단되는 경험식을 이용하여 신뢰함수가 유도되었다. 일반적으로 인정되는 범위내에서 설정된 확률변수의 통계적 특성과 분포함수를 이용하여 허용 월파량을 초과하는 파괴확률이 무차원 천단고의 함수로 산정되었다. 피복재의 종류와 구조물 전면의 경사에 따른 파괴확률의 차이도 해석되었다 또한 상치 콘크리트 전면에 거치된 피복재의 천단폭 변화에 대하여도 해석하였다. 마지막으로 각 확률변수의 불확실성에 따른 민감도 분석이 수행되었다. 월파와 관련된 제반 특성들이 잘 묘사되었을 뿐만 아니라 결정론적 설계법에서는 규명할 수 없는 허용 월파량을 초과하는 파괴확률들이 정량적으로 산정 되었다. 따라서 천단고를 결정할 때 확률적인 개념을 가미함으로서 설계의 효율성을 높일 수 있다.