• Title/Summary/Keyword: 예측 신뢰성

Search Result 2,003, Processing Time 0.029 seconds

Reliability Verification of Numerical Prediction Method on Pile Behaviour Characteristics using Field Static Loading Test (현장정재하시험을 이용한 말뚝 거동특성 수치해석 예측기법의 신뢰성 검증)

  • Nam, Hosung;Baek, Seungcheol
    • Journal of the Korean GEO-environmental Society
    • /
    • v.18 no.9
    • /
    • pp.11-18
    • /
    • 2017
  • Numerical analysis method for prediction of pile behaviour characteristics has widely been used in detail design process before construction because field static loading test requires high cost. However, the reliability verification of numerical analysis of result is not permitted compare with field test. In this study, to verify the numerical analysis results, pile behaviour prediction was compared with field static loading test results. For exact analysis of interaction between pile and ground, soil investigation and in-situ test such as boring, SPT and bore-hole shear test were performed before pile static loading test. During the static loading test, pile behaviour characteristics were analyzed under every loading condition. After static pile loading test, numerical analysis was carried out under same condition with static pile loading test. In the numerical analysis, to apply same loading condition with each loading condition in the field test and to compare with between the results of numerical analysis, the field test results for reliability were verified with the results of numerical analysis.

Dependability Analysis Methodology and Tools based on SMART for SSD (SSD를 위한 SMART 기반 신뢰성 분석 방법론 및 도구)

  • Kim, Se-Soog;Lee, Sang-Yup;Jeon, Jeong-Ho;Choi, Jong-Moo;Yang, Joong-Seob;Mo, Yeon-Jin;Shin, Young-Kyun
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2011.06b
    • /
    • pp.33-36
    • /
    • 2011
  • 본 논문에서는 SMART(Self-Monitoring Analysis and Reporting Technology)를 기반으로 SSD(Solid State Drives) 저장 장치의 신뢰성을 분석할 수 있는 방법론과 도구를 제안한다. 방법론은 SSD를 구성하는 플래시 메모리의 결함 종류, 결함들을 효과적으로 모니터링 할 수 있는 SMART 속성과 임계값, 그리고 이를 기반으로 SSD의 신뢰성을 예측할 수 있는 모델로 구성된다. 이 방법론은 신뢰성 분석 도구로 구현 되었으며, 이 도구는 Workload generator, SMART monitor, Dependability analyzer, 그리고 GUI viewer로 구성된다. 실제 두 회사에서 생산한 6개의 SSD를 이용하여 실험한 결과, SMART를 기반으로 SSD의 고장 예측이 가능하며, 여러 속성들을 동시에 고려하였을 때 예측의 정확도가 높아짐을 발견하였다.

마이크로 컴퓨터의 시험및 신뢰성

  • 임제탁
    • 전기의세계
    • /
    • v.28 no.6
    • /
    • pp.3-10
    • /
    • 1979
  • 여기서는 마이크로컴퓨터의 시험법에 관해서 현재시판되고 있는 시험기와 함께 소개하고 단일 칩마이크로컴퓨터에 관해서 실시하고 있는 시험 패턴 설계예를 약간 상세히 기술한다. 또 마이크로컴퓨터용 LSI의 고장모우드, 고장메카니즘의 분류및 고장율, 신뢰성의 현장과 문제점에 관해서 기술함과 동시에 초기불량을 제거하여 신뢰성을 향상시키는 수단으로서의 스크리닝(screening)및 신뢰도예측에 관해서 소개하고 현장에 있어서의 문제점과 대책에 관해서 논의한다.

  • PDF

Study of Stochastic Techniques for Runoff Forecasting Accuracy in Gongju basin (추계학적 기법을 통한 공주지점 유출예측 연구)

  • Ahn, Jung Min;Hur, Young Teck;Hwang, Man Ha;Cheon, Geun Ho
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.31 no.1B
    • /
    • pp.21-27
    • /
    • 2011
  • When execute runoff forecasting, can not remove perfectly uncertainty of forecasting results. But, reduce uncertainty by various techniques analysis. This study applied various forecasting techniques for runoff prediction's accuracy elevation in Gongju basin. statics techniques is ESP, Period Average & Moving average, Exponential Smoothing, Winters, Auto regressive moving average process. Authoritativeness estimation with results of runoff forecasting by each techniques used MAE (Mean Absolute Error), RMSE (Root Mean Squared Error), RRMSE (Relative Root Mean Squared Error), Mean Absolute Percentage Error (MAPE), TIC (Theil Inequality Coefficient). Result that use MAE, RMSE, RRMSE, MAPE, TIC and confirm improvement effect of runoff forecasting, ESP techniques than the others displayed the best result.

Life Prediction of Failure Mechanisms of the CubeSat Mission Board using Sherlock of Reliability and Life Prediction Tools (신뢰성 수명예측 도구 Sherlock을 이용한 큐브위성용 임무보드의 고장 메커니즘별 수명예측)

  • Jeon, Su-Hyeon;Kwon, Yae-Ha;Kwon, Hyeong-Ahn;Lee, Yong-Geun;Lim, In-OK;Oh, Hyun-Ung
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.44 no.2
    • /
    • pp.172-180
    • /
    • 2016
  • A cubesat classified as a pico-satellite typically uses commercial-grade components that satisfy the vibration and thermal environmental specifications and goes into mission orbit even after undergoing minimum environment tests due to their lower cost and short development period. However, its reliability exposed to the physical environment such as on-orbit thermal vacuum for long periods cannot be assured under minimum tests criterion. In this paper, we have analysed the reliability and life prediction of the failure mechanisms of the cubesat mission board during its service life under the launch and on-orbit environment by using the sherlock software which has been widely used in automobile fields to predict the reliability of electronic devices.

Management Automation Technique for Maintaining Performance of Machine Learning-Based Power Grid Condition Prediction Model (기계학습 기반 전력망 상태예측 모델 성능 유지관리 자동화 기법)

  • Lee, Haesung;Lee, Byunsung;Moon, Sangun;Kim, Junhyuk;Lee, Heysun
    • KEPCO Journal on Electric Power and Energy
    • /
    • v.6 no.4
    • /
    • pp.413-418
    • /
    • 2020
  • It is necessary to manage the prediction accuracy of the machine learning model to prevent the decrease in the performance of the grid network condition prediction model due to overfitting of the initial training data and to continuously utilize the prediction model in the field by maintaining the prediction accuracy. In this paper, we propose an automation technique for maintaining the performance of the model, which increases the accuracy and reliability of the prediction model by considering the characteristics of the power grid state data that constantly changes due to various factors, and enables quality maintenance at a level applicable to the field. The proposed technique modeled a series of tasks for maintaining the performance of the power grid condition prediction model through the application of the workflow management technology in the form of a workflow, and then automated it to make the work more efficient. In addition, the reliability of the performance result is secured by evaluating the performance of the prediction model taking into account both the degree of change in the statistical characteristics of the data and the level of generalization of the prediction, which has not been attempted in the existing technology. Through this, the accuracy of the prediction model is maintained at a certain level, and further new development of predictive models with excellent performance is possible. As a result, the proposed technique not only solves the problem of performance degradation of the predictive model, but also improves the field utilization of the condition prediction model in a complex power grid system.

Study of Prediction of Reliability of Barrel in Small Arms by Dispersion Anlaysis (분산도 분석기법을 통한 총열 신뢰성 예측에 관한 연구)

  • Kim, Hyun Jun;Chae, Je Wook;Choe, Eui Jung
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.37 no.2
    • /
    • pp.227-232
    • /
    • 2013
  • This study proposes a method for predicting the reliability of the barrel in small arms by analyzing the dispersion. The periodicity with which the barrel needs to be changed can be determined by detecting the inner surface directly or by inspecting scratches inside the barrel using an optical sensor. However, soldiers and directors in the logistics command need a more easy way to check the periodicity of barrel. Therefore, this study focuses on the relation between the firing round and the dispersion. A simple equation can be experimentally derived from pre-tests and analyses. This equation is confirmed through firing tests. In this sense, it can be easily applied to determine the periodicity with which the barrel of small arms needs to be changed in the field army.

Trustworthy Service Selection using QoS Prediction in SOA-based IoT Environments (SOA기반 IoT환경에서 QoS 예측을 통한 신뢰할 수 있는 서비스 선택)

  • Kim, Yukyong
    • Journal of Software Assessment and Valuation
    • /
    • v.15 no.1
    • /
    • pp.123-131
    • /
    • 2019
  • The Internet of Things (IoT) environment must be able to meet the needs of users by providing access to various services that can be used to develop diverse user applications. However, QoS issues arise due to the characteristics of the IoT environment, such as numerous heterogeneous devices and potential resource constraints. In this paper, we propose a QoS prediction method that reflects trust between users in SOA based IoT. In order to increase the accuracy of QoS prediction, we analyze the trust and distrust relations between users and identify similarities among users and predict QoS based on them. The centrality is calculated to enhance trust relationships. Experimental results show that QoS prediction can be improved.

초기고장률과 와이불분포의 적합성 검토

  • 원형규
    • Proceedings of the Korean Operations and Management Science Society Conference
    • /
    • 1992.04b
    • /
    • pp.204-212
    • /
    • 1992
  • 기술의 발전으로 전자기기(또는 부품)의 수명은 상당히 길어졌다. 따라서 장기간에 걸친 기기의 신뢰성을 예측하기 위해 초기고장률로 부터 일정기간 지난후 부터를 상수고장률로 추정하여 사용하고 있다. 그러므로 초기고장률은 기기의 수명예측에 중요한 역할을 하고 있다. 본 고에서는 초기고장률 모형으로서 와이불분포의 적합성을 검토하는 새로운 통계적 방법을 소개한다.

  • PDF

위성자료를 이용한 미계측 유역의 장기유출모의 평가 -임진강 유역을 중심으로

  • Kang, Keon Kuk;Jeung, Se Jin;Lee, Suk Ho;Kim, Byung Sik
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2015.05a
    • /
    • pp.453-453
    • /
    • 2015
  • 미계측 유역에서의 수문 예측은 유역의 다차원 시공간에서 일어나고 있는 수문학적 기능에 대한 깊은 이해와 성찰을 요구한다. 유역면적의 2/3가 미계측 지역인 임진강 유역은 북한지역과 중첩하고 있어 관측자료가 불충분 하고 소량의 관측자료가 존재하더라도 기후변화로 인해 환경이 변화하기 때문에 미계측 지역 연구에 적당하다. 이에 따라 수문학적 반응을 예측할 수 있도록 비접촉 비파괴적인 도구를 이용하여 수집된 자료를 통해 미계측 유역에 대한 정확한 신뢰성 구축을 마련할 필요가 있다고 판단된다. 신뢰성 구축을 위한 방법으로는 현장답사 및 항공사진에 비하여 넓은 지역을 한번에 관측할 수 있는 Landsat TM 영상을 이용하여 북한의 지형과 토지피복특성 등을 구축하고, 준분포형 모형인 SLURP를 이용하여 소유역으로 구분 된 ASA의 하도 추적을 통해 전체유역의 출구지점 유출량을 산정하였다. 또한 예측 불확실성을 감소시키기 위해 wamis에서 제공하는 GIS Data와 위성영상의 Data를 비교하여 분석하였다. 그 결과 미계측 지역의 불확실성을 최소화 시킬 수 있는 비교 분석이 가능하였다.

  • PDF