• Title/Summary/Keyword: 사용수명예측

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Study on the prediction about thermal deformation of thin film solar cell according to metal substrates (금속기판재에 따른 박막형 태양전지의 열변형량 예측에 관한 연구)

  • Koo, Seung-Hyun;Lee, Heun-Yeol;Yim, Tai-Hong
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.11a
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    • pp.285-288
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    • 2007
  • 박막형 태양전지 및 플렉서블 태양전지 기판으로 사용되는 금속기판의 우수성은 잘 알려져 있다. 그러나 상용 금속기판이 직면하고 있는 문제점을 보완하기 위해서 전주법으로 제조된 2원합금 금속포일을 개발하였으며, 박막형 및 플렉서블 태양전지의 기판재로 적용가능성을 확인하였다. 일반적으로 태양전지를 제조할 때 열 공정이 수행되며, 이때 기판재와 cell을 구성하는 반도체의 열팽창 계수 차이에 의한 열변형으로 결함이 발생될 수 있고, 태양전지 효율 및 수명을 저하시키는 원인이 될 수 있다. 이러한 원인이 될 수 있는 구성 재료간의 열팽창계수 차이에 의한 cell 의 변형량을 추정하기 위해 유한요소해석 방법을 사용하였다. 유한요소해석을 수행하기 위해 ALGOR 라는 해석 tool 을 사용하였다. 유한요소해석 수행에 사용된 상용 금속인 Mo, Ti, Al, SUS 포일과 전주법으로 제조된 2원합금 금속포일의 열팽창 계수는 실험을 통한 측정치이며, cell을 구성하는 반도체의 열팽창 계수와 열특성은 참고 문헌에 있는 자료들이다. 이 값들을 기반으로 cell 의 구성을 단순화시킨 가상의 태양전지가 제조 공정 온도에서 상온으로 냉각될 때의 열변형량을 계산하였다.

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An Estimation of Risky Module using SVM (SVM을 이용한 위험모듈 예측)

  • Kim, Young-Mi;Jeong, Choong-Heui;Kim, Hyeon-Soo
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.6
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    • pp.435-439
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    • 2009
  • Software used in safety-critical system must have high dependability. Software testing and V&V (Verification and Validation) activities are very important for assuring high software quality. If we can predict the risky modules of safety-critical software, we can focus testing activities and regulation activities more efficiently such as resource distribution. In this paper, we classified the estimated risk class which can be used for deep testing and V&V. We predicted the risk class for each module using support vector machines. We can consider that the modules classified to risk class 5 and 4 are more risky than others relatively. For all classification error rates, we expect that the results can be useful and practical for software testing, V&V, and activities for regulatory reviews.

Storage Reliability Assessment of Springs for Turbo Engine Components (터보엔진 구성품용 스프링의 저장 신뢰성 평가)

  • Chang, Mu-Seong;Lee, Choong-Sung;Park, Jong-Won;Kim, You-Il;Kim, Sun Je
    • Journal of the Korean Society of Propulsion Engineers
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    • v.23 no.4
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    • pp.42-49
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    • 2019
  • This paper presents a method to predict the storage reliability of springs for turbo engine components based on an accelerated degradation test. The reliability assessment procedure for springs is established to proceed with the accelerated degradation test. The spring constant is selected as the performance degradation characteristic, the temperature is determined to be the stress factor that deteriorates the spring constant. The storage tests are performed at three temperature test conditions. The spring constant is measured periodically to check the degradation status of the springs. Failure times of the springs are predicted by using the degradation model. Finally, the storage lifetime of the springs at normal use conditions is predicted using an accelerated model and failure times of all test conditions.

Study on the Prediction Model of Reheat Gas Turbine Inlet Temperature using Deep Neural Network Technique (심층신경망 기법을 이용한 재열 가스터빈 입구온도 예측모델에 관한 연구)

  • Young-Bok Han;Sung-Ho Kim;Byon-Gon Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.841-852
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    • 2023
  • Gas turbines, which are used as generators for frequency regulation of the domestic power system, are increasing in use due to the carbon-neutral policy, quick startup and shutdown, and high thermal efficiency. Since the gas turbine rotates the turbine using high-temperature flame, the turbine inlet temperature is acting as a key factor determining the performance and lifespan of the device. However, since the inlet temperature cannot be directly measured, the temperature calculated by the manufacturer is used or the temperature predicted based on field experience is applied, which makes it difficult to operate and maintain the gas turbine in a stable manner. In this study, we present a model that can predict the inlet temperature of a reheat gas turbine based on Deep Neural Network (DNN), which is widely used in artificial neural networks, and verify the performance of the proposed DNN based on actual data.

A Study of Shelf Life about Li-ion Battery (리튬 2차 전지의 저장 수명에 관한 연구)

  • Kim, Dong-seong;Jin, Hong-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.339-345
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    • 2020
  • In the field of defense, one-shot devices such as missiles are stored for a long period of time after they are manufactured, so it is essential to predict their storage life. A study was conducted to find the shelf life of a Li-ion battery used in one-shot devices. To do this, a Li-ion battery that has been used in weapon systems for more than 5 years was secured. A non-functional test was performed on the battery to check for external changes or failures. After the non-functional test, a discharge test was performed to measure the performance after storing it. Through the test, the performance was checked, including the initial charging voltage, discharge time, and battery temperature, and the trend of the change was identified. An F-test, One-way ANOVA, and regression analysis were performed to verify the aging, and the shelf life of the battery was estimated by an approximation formula that was derived through a regression analysis. As a result of the ANOVA, the p-value was less than the reference value of 0.05, and the performance of the battery decreased by more than 15% after a certain period of time. This change is assumed to result from the change in physical properties of the lithium polymer cell.

A Study on Control of Heat Generation in Computer using Thermoelectric Cooling System (열전냉각시스템을 이용한 컴퓨터의 발열제어에 관한 연구)

  • Oh, Yool-Kwon;Yang, Ho-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.1
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    • pp.43-49
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    • 2015
  • In recent years, the amount of heat generated inside of the computer has more increased because of high performance, multi-function, miniaturization and light weight. It is necessary to control the effective heat generation to improve performance and life extension of the computer. In this study, thermoelectric cooling system was manufactured using thermoelectric module and was attached to computer in order to control the heat generated inside computer. And the temperature distributions inside computer were experimentally measured and compared with and without thermoelectric cooling system to investigate the effect of cooling system. Also, to estimate the new cooling system which can substitute for the existing computer cooling system, temperature distributions inside computer were calculated by numerical analysis when there was no cooling system and was applied only cooling system to computer.

Expansion Joint Motion Analysis using Hall Effect Sensor and 9-Axis Sensor (Hall Effect Sensor와 9-Axis Sensor를 이용한 Expansion Joint 모션 분석)

  • Kwag, Tae-Hong;Kim, Sang-Hyun;Kim, Won-Jung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.347-354
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    • 2021
  • In the equipment industry such as chemical plants, high temperature, high pressure, and toxic fluids move between various facilities through piping. The movement and damage of pipes due to changes in the surrounding environment such as temperature changes, vibrations, earthquakes, and ground subsidence often lead to major accidents involving personal injury. In order to prevent such an accident, various types of expansion joints are used to absorb and supplement various shocks applied to the pipe to prevent accidents in advance. Therefore, it is very important to measure the deformation of the used expansion joint and predict its lifespan to prevent a major accident. In this paper, the deformation of the expansion joint was understood as a kind of motion, and the change was measured using a Hall Effect Sensor and a 9-Axis Sensor. In addition, we studied a system that can predict the deformation of expansion joints by collecting and analyzing the measured data using a general-purpose microcomputer (Arduino Board) and C language.

Influence of Carbonation for Chloride Diffusion in Concrete (탄산화 복합환경시 염소이온 확산에 관한 연구)

  • Oh Byung-Hwan;Lee Sung-Kyu;Lee Myung-Kue;Jung Sang-Hwa
    • Journal of the Korea Concrete Institute
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    • v.17 no.2 s.86
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    • pp.179-189
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    • 2005
  • Corrosion of steel due to chloride attack is a major concern in reinforced concrete structures which are located in the marine environments. In this case, Fick's 2nd law has been used for the prediction of chloride diffusion related with service life of concrete structures. However, those studies were confined mostly to the single deterioration due to chloride only, although actual environment is rather of combined type. The purpose of the present study is, therefore, to explore the influences of carbonation to chloride attack in concrete structures and to investigate the validity of Fick's law to chloride attack combined carbonation. The test results indicate that the chloride ion profiles from Fick's law using the diffusion coefficient of immersion tests is not reflected the effect of separation of chloride ions in carbonation region but valid in sound region in case of combined action. On the other hand, the chloride ion profiles from Fick's law using the diffusion coefficient of Tang and Nilsson's method coincide with test results under dry-wet condition but not under combined condition. The results of present study may Imply that the new method for the measurement of diffusion coefficient is required to predict the chloride ion profiles in case of combined action at early.

A modified Lee-Carter model based on the projection of the skewness of the mortality (왜도 예측을 이용한 Lee-Carter모형의 사망률 예측)

  • Lee, Hangsuck;Baek, Changryong;Kim, Jihyeon
    • The Korean Journal of Applied Statistics
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    • v.29 no.1
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    • pp.41-59
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    • 2016
  • There have been continuous improvements in human life expectancy. Life expectancy is as a key factor in an aging population and can wreak severe damage on the financial integrity of pension providers. Hence, the projection of the accurate future mortality is a critical point to prevent possible losses to pension providers. However, improvements in future mortality would be overestimated by a typical mortality projection method using the Lee-Carter model since it underestimates the mortality index ${\kappa}_t$. This paper suggests a mortality projection based on the projection of the skewness of the mortality versus the typical mortality projection of the Lee-Carter model based on the projection of the mortality index, ${\kappa}_t$. The paper shows how to indirectly estimate future t trend with the skewness of the mortality and compares the results under each estimation method of the mortality index, ${\kappa}_t$. The analysis of the results shows that mortality projection based on the skewness presents less improved mortality at an elderly ages than the original projection.

Reliability Estimation of High Voltage Ceramic Capacitor by Failure Analysis (고압 커패시터의 고장 분석을 통한 신뢰도 예측)

  • Yang, Seok-Jun;Kim, Jin-Woo;Shin, Seung-Woo;Lee, Hee-Jin;Shin, Seung-Hun;Ryu, Dong-Su;Chang, Seog-Weon
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.6
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    • pp.618-629
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    • 2001
  • This paper presents a result of failure analysis and reliability evaluation for high voltage ceramic capacitors. The failure modes and failure mechanisms were studied in two ways in order to estimate component life and failure rate. The causes of failure mechanisms for zero resistance phenomena under withstanding voltage test in high voltage ceramic capacitors molded by epoxy resin were studied by establishing an effective root cause failure analysis. Particular emphasis was placed on breakdown phenomena at the ceramic-epoxy interface. The validity of the results in this study was confirmed by the results of accelerated testing. Thermal cycling test for high voltage ceramic capacitor mounted on a magnetron were implemented. Delamination between ceramic and epoxy, which might cause electrical short in underlying circuitry, can occur during curing or thermal cycle. The results can be conveniently used to quickly identify defective lots, determine $B_{10}$ life estimation each lot at the level of inspection, and detect major changes in the vendors processes. Also, the condition for dielectric breakdown was investigated for the estimation of failure rate with load-strength interference model.

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