• Title/Summary/Keyword: Reliability Growth Analysis

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Sampling Strategies for Computer Experiments: Design and Analysis

  • Lin, Dennis K.J.;Simpson, Timothy W.;Chen, Wei
    • International Journal of Reliability and Applications
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    • v.2 no.3
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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.

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A Study of Validity of Attitudes to Aging Questionnaire(AAQ) for Korean Elderly (노화태도척도(AAQ)의 한국 노인 적용을 위한 타당성 연구)

  • Kim, Jung-Hyun;Kim, Wook
    • 한국노년학
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    • v.32 no.4
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    • pp.1181-1197
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    • 2012
  • This study aims to validate the Attitudes to Aging Questionnaire(AAQ), which was recently developed in foreign countries, for Korean elderly. Using a sample of 320 older individuals living in Seoul, Gyeonggi, Chungcheong areas, statistical analyses including item analysis, exploratory factor analysis, convergent validity analysis were attempted to AAQ which composed of three factors with 24 items. In result, the three factor model of AAQ(including psychosocial loss, physical change, and psychological growth) were reconstructed in which new three factors(psychological loss, social loss, and change and growth in body and mind) were confirmed and three items were deleted. Reliability and convergent validity of AAQ-21 were confirmed. AAQ-21 would be useful to researchers and practitioners working with older adults for systematically assessing the attitudes to aging of older individuals and thus contribute to development of social policies and welfare programs for the elderly.

Availability Analysis on the Multi-Effect Distillation and Adsorptive Desalination Process (다중효용-흡착 방식 담수화 시스템의 가용도 분석)

  • Noh, Hyon-Jeong;Lee, Ho-Saeng;Ji, Ho;Kang, Kwan-Gu
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.6_2
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    • pp.827-839
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    • 2021
  • Due to climate change and population growth, water scarcity is getting worse all over the world. Among various methods for desalination of seawater, the Multi-Effect Adsorptive Desalination method, which combines the existing Multi-Effect Desalination method and the Adsorptive Desalination method and can produce high-concentration-high-concentration freshwater, is emerging. Because the Multi-Effect Adsorptive Desalination method combines the two different methods, the system becomes complicated and the possibility of failure increases. Therefore, in this study, availability analysis was performed on the Multi-Effect Adsorptive Desalination process. A total of four types of reliability block diagrams were presented, and availability analysis was conducted based on them. The first form of a reliability block diagram is configured in series without any redundancy. The availability of the reliability block diagram composed of the serial system was found to be lower than the required availability. In order to increase availability, the redundancy to pumps and boiler are added to system. As a result of availability analysis, it was confirmed that designing desalination systems with redundancy to pump meets the 93% availability, which is typically required availability for various plants.

Evaluating Some Influential Factors on Consumers' Purchasing Decisions of Environment-friendly Agricultural Products (EAP) Using Importance-Performance Analysis (IPA) (중요도-성취도 분석을 이용한 소비자의 친환경농산물 구매 결정요소 평가)

  • Kim, Sang-Oh;An, Ki-Wan;Kim, Min-Hee;Shim, Jae-Han
    • Korean Journal of Organic Agriculture
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    • v.15 no.4
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    • pp.339-353
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    • 2007
  • It is important to facilitate consumers' purchases of EAP (Environment-friendly Agricultural Products) for establishing the successful Environment-friendly Agriculture (EA). This study was conducted to evaluate the present state of some potentially influential factors on consumers' purchasing decisions of EAP using Importance- Performance Analysis (IPA). A total of 299 Gwangju citizens participated in the questionnaire survey during September and October, 2007. Urgent improvement efforts are needed for "reliability about the safety of the EAP", "reliability on EAP certification mark", "credibility of EAP producers", and "growth of EA". Respondents also seem to have positive attitudes to EA activation.

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Reliability Prediction of High Performance Mooring Platform in Development Stage Using Safety Integrity Level and MTTFd (안전무결성 수준 및 MTTFd를 활용한 개발단계의 고성능 지상체 신뢰도 예측 방안)

  • Min-Young Lee;Sang-Boo Kim;In-Hwa Bae;So-Yeon Kang;Woo-Yeong Kwak;Sung-Gun Lee;Keuk-Ki Oh;Dae-Rim Choi
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.3
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    • pp.609-618
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    • 2024
  • System reliability prediction in the development stage is increasingly crucial to reliability growth management to satisfy its target reliability, since modern system usually takes a form of complex composition and various complicated functions. In most cases of development stage, however, the information available for system reliability prediction is very limited, making it difficult to predict system reliability more precisely as in the production and operating stages. In this study, a system reliability prediction process is considered when the reliability-related information such as SIL (Safety Integrity Level) and MTTFd (Mean Time to Dangerous Failure) is available in the development stage. It is suggested that when the SIL or MTTFd of a system component is known and the field operational data of similar system is given, the reliability prediction could be performed using the scaling factor for the SIL or MTTFd value of the component based on the similar system's field operational data analysis. Predicting a system reliability is then adjusted with the conversion factor reflecting the temperature condition of the environment in which the system actually operates. Finally, the case of applying the proposed system reliability prediction process to a high performance mooring platform is dealt with.

A Study on the Causality between Electric Reserve Margin, Electricity Tariff, Renewable Energy, Economic Growth, and Concurrent Peak in Winter and Summer: OECD Panel Analysis (전력예비율과 전기요금, 신재생, 경제성장, 동·하계 동시피크 간 인과관계 연구 : OECD 패널 분석)

  • Lee, Jung-Ho;Park, Kyung-Min;Park, Jung-Gu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.11
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    • pp.1415-1422
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    • 2018
  • In Korea, prior to 2011, the electric reserve margin followed the probabilistic reliability view and the planning reserve margin had been operated at about 15% based on the assumption that power outage was permitted within 0.5 days a year. However, after experiencing the shortage of the electric generation capacity in Sept. 15, 2011, the planning reserve margin was selected as 22% to improve the reliability of the electric supply. In this paper, using panel data of 28 OECD countries over the period 2000-2014 we attempted to empirically examine the linkage between reserve margin, electricity tariffs, renewable energy share, GDP per capita, and summer / winter peak-to-peak ratios. As a result, all four independent variables have been significant for the electric reserve margin, and in particular, we found that countries with similar peaks in winter and summer have operated 4.3% higher reserve margin than countries experiencing only summer peak.

Thermal Shock Cycles Optimization of Sn-3.0 Ag-0.5 Cu/OSP Solder Joint with Bonding Strength Variation for Electronic Components (Sn-3.0 Ag-0.5 Cu/OSP 무연솔더 접합계면의 접합강도 변화에 따른 전자부품 열충격 싸이클 최적화)

  • Hong, Won-Sik;Kim, Whee-Sung;Song, Byeong-Suk;Kim, Kwang-Bae
    • Korean Journal of Materials Research
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    • v.17 no.3
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    • pp.152-159
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    • 2007
  • When the electronics are tested with thermal shock for Pb-free solder joint reliability, there are temperature conditions with use environment but number of cycles for test don't clearly exist. To obtain the long term reliability data, electronic companies have spent the cost and times. Therefore this studies show the test method and number of thermal shock cycles for evaluating the solder joint reliability of electronic components and also research bonding strength variation with formation and growth of intermetallic compounds (IMC). SMD (surface mount device) 3216 chip resistor and 44 pin QFP (quad flat package) was utilized for experiments and each components were soldered with Sn-40Pb and Sn-3.0 Ag-0.5 Cu solder on the FR-4 PCB(printed circuit board) using by reflow soldering process. To reliability evaluation, thermal shock test was conducted between $-40^{\circ}C\;and\;+125^{\circ}C$ for 2,000 cycles, 10 minute dwell time, respectively. Also we analyzed the IMCs of solder joint using by SEM and EDX. To compare with bonding strength, resistor and QFP were tested shear strength and $45^{\circ}$ lead pull strength, respectively. From these results, optimized number of cycles was proposed with variation of bonding strength under thermal shock.

A Study on Factors Influencing the Performance of the Knowledge Management System(KMS): Focused on Subjective Norm and Personality (지식관리시스템의 성과에 영향을 미치는 요인에 관한 연구: 주관적 규범, 성격특성을 중심으로)

  • Kang, Mun-Sang;Kang, Sung-Bae;Shin, Mun-Bong
    • Knowledge Management Research
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    • v.12 no.5
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    • pp.71-87
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    • 2011
  • This study focuses on influencing factors of TAM on personality, subjective norm and then examines the relationship between influencing factors such as KMS usage and system performance. The survey was collected from KMS users by e-mail and on-line questionnaire. Finally, 206 questionnaires were chosen for the analysis of data. It was analyzed by SPSS and AMOS for the frequency analysis, reliability analysis, CFA(Confirmatory Factor Analysis) and SEM(Structural Equation Modeling). The results were as follows. First, subjective norm is found to be especially important to KMS usage. Second, Extraversion positively moderated the relationship between subjective norm and perceived usefulness. Third, KMS usage is significant to personal performance such as knowledge growth, decision making and the ability of problem solving. This study proposed that the usage of Knowledge Management System positively contributes to the improvement of personal performance.

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Sweden at the Innovation Frontier - Assessing Performance and Challenges in a Disruptive World

  • Deiaco, Enrico;Bager-Sjogren, Lars
    • STI Policy Review
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    • v.3 no.2
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    • pp.1-46
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    • 2012
  • The paper assesses the innovative performance and challenges that a small innovative country like Sweden faces in an era of intense global competition. We contrast innovative performance with similar countries in Europe as well as discus the reliability and validity of indicators used to shape policy development. The conclusion from the analysis shows that available input-output indicators must be used with some caution. Even if the supply and quality of indicators has increased for policy analysis, they still lack precision and validity to make broad claims about the innovative performance of companies and nations. It is argued that understanding knowledge flows (rather than simple input-output metrics) are a key to understand innovation processes for small countries at the innovation frontier; subsequently, small countries will have to abandon failed policy orthodoxies in order to cope with future policy challenges.

A Study on ENHPP Software Reliability Growth Model based on Exponentiated Exponential Coverage Function (지수화 지수 커버리지 함수를 고려한 ENHPP 소프트웨어 신뢰성장 모형에 관한 연구)

  • Kim, Hee-Cheul
    • The Journal of Information Technology
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    • v.10 no.2
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    • pp.47-64
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    • 2007
  • Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process : test coverage. This model called enhanced non-homogeneous poission process(ENHPP). In this paper, exponential coverage and S-coverage model was reviewed, proposes the exponentiated exponential coverage reliability model, which maked out efficiency substituted for gamma and Weibull model(2 parameter shape illustrated by Gupta and Kundu(2001). In this analysis of software failure data, algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics for the sake of efficient model, was employed.

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