• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1997.05a
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• pp.51-54
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• 1997

방독마스크 수명예측을 위하여는 여러 모델식이 제안되었으며, Cohen등은 bed-residence 흡착 모델을 사용하여 정화통에서 채취한 활성탄을 carbon tube에 bed-residence time이 같게 충전시켜 습도에 따른 정화통의 수명을 예측하였다. 그리고, Mover는 Potential Jonas 모델을 적용하여 환경적 조건들과 아세톤에 대하여 유기증기 정화통의 특성을 묘사하였다. (중략)

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.3
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• pp.259-265
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• 2016

Recently, life prediction models for Pb-based and Pb-free solders used in chip resistor assemblies under thermal cycling have been introduced. The models suggest that the field lifetimes of Pb-free solders would be better than those of Pb-based solders when used for chip resistors under thermal cycling conditions, while the lifetime of the chip assemblies under accelerated test conditions show a reverse relationship. In this study, the prediction models were verified by applying the model to another research case. Finite element models were built, thermal cycling conditions were applied, and the energy densities were calculated. Finally, life prediction analysis was conducted for the cases where Pb-based and Pb-free solders were used. The prediction results were then compared with the test data of the case. It was verified that the predictions of the developed life cycle models are on the practical scale.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.359-360
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• 2020

리튬 이온 배터리가 전기 자동차의 주 동력원으로 사용됨에 따라 배터리의 잔존 수명 예측기술의 중요성이 부각되고 있다. 사용 환경에 적합한 잔존 수명 예측을 위해 전기 자동차의 주행 환경을 모사하여 충전 및 방전이 빈번하게 나타나는 UDDS 프로파일에서 범용적으로 사용할 수 있는 수명 인자를 선정하는 것이 필수적이다. 배터리의 잔존 용량과 가장 상관도가 높은 수명 인자를 선정함으로써, 인공지능 기반 예측 알고리즘의 정확도 향상을 기대 할 수 있으며, 태양광 ESS와 같은 상이한 특성의 어플리케이션에도 범용적인 적용이 가능하다.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.1025-1028
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• 2008

Using of maintenance system for gate bridge algorism, We made out algorism and engine for prediction of life cycle by neutralization, freezing-thawing and damage from sea wind. To objective of this system, user can use easily with maintenance system for gate bridge. Also, to improve of maintenance efficiency, web-program made out by superannuated evaluation and analysis of field exposure data. To develope web-program, we framing structure design of database, which is adapted to method of maintenance, repair, and reinforcing

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.339-340
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• 2011

본 연구는 N말단 아미노산 종류에 따라 단백질의 수명(half-life)이 결정된다는 N-end rule을 기반으로 단백질 수명을 예측해주는 프로그램인 protparam의 결과와 bleach-chase를 이용한 실험 데이터를 비교 분석하였다. 단백질 수명을 결정하는 여러 요인들을 고려하지 않고 한 가지 요인만을 반영한 protparam의 결과는 실제 측정값과 현격한 차이를 나타낸다. 특히 실제 단백질은 NME(N-terminal Methionine Excision) 현상이 일어나는데 이를 고려하지 않고 유전체에서 번역한 그대로의 아미노산 서열을 가지고 단백질 수명을 계산하는 한계를 가지고 있다. 이에 본 연구에서 N말단 아미노산을 순차적으로 제거하여 N-end rule을 적용한 결과도 실험 데이터와 일치하지 않는 결과를 보여주고 있음을 확인하였다. 따라서 현재 사용되고 있는 단백질 수명 예측 프로그램은 이런 문제점을 가지고 있기 때문에 새로운 예측 알고리즘의 개발이 요구된다.

• Proceedings of the KAIS Fall Conference
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• 2012.05b
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• pp.537-540
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• 2012

기존 2차 전지 내부저항 측정 또는 잔존 용량 측정 등의 2차전지의 수명을 예측 방법들이 있으나 이 방법은 여러 가지 사용 환경에 따른 측정 오류 발생으로 의해 잔존 수명 예측을 정확하게 판단하기는 어려운 실정이다. 따라서 본 논문은 2치전지의 전해액 비중을 이용한 수명 예측 알고리즘을 개발하고 LabVIEW프로그램을 활용한 2차 전지 상태 감시와 잔존 수명을 예측하는 프로그램을 제작하여, 2차 전지의 상태와 교체 시점에 대한 신뢰도를 높일 수 있는 방안을 제시하고자 한다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.15 no.1
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• pp.49-60
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• 1991

Fatigue behavior of carbon fiber reinforced polyimide composite materials was studied experimentally and analytically. The physical variables, such as cyclic displacements and hysteresis loop energy were observed during fatigue tests. Fatigue life of the investigated [0/90]$_{2S}$ laminates was predicted by H'||'&'||'H models which was proposed based on the fatigue modulus and resultant strain. The predicted fatigue life by H'||'&'||'H curves was reasonably close to the experimental data. Fractography study shows that fatigue failure mechanism of [0/90]$_{2S}$ laminated composite materials involves failure break, matrix tearing and fiber-matrix debonding as well as delamination of layers.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.115-125
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• 2011

By use of a mortality forecasting model and a life table, forecasting the average life expectancy is an effective way to evaluate the future mortality level. There are differences between the actual values of average life expectancy at present and the forecasted values of average life expectancy in population projection 2006 from Statistics Korea. The reason is that the average life expectancy forecasts did not reflect the increasing speed of the actual ones. The main causes of the problem may be errors from judgment for projection, from choice, or use of a mortality forecasting model. In this paper, we focus on the choice of the mortality forecasting model to inspect this problem. Statistics Korea should take a mortality forecasting model with considerable investigation to proceed population projection 2011 without the errors observed in population projection 2006. We compare the five mortality forecasting models that are the LC(Lee and Carter) model used widely and its variants, and the HP8(Heligman and Pollard 8 parameter) model for handling death probability. We make average life expectancy forecasts by sex using modeling results from 2010 to 2030 and compare with that of the population projection 2006 during the same period. The average life expectancy from all five models are forecasted higher than that of the population projection 2006. Therefore, we show that the new average life expectancy forecasts are relatively suitable to the future mortality level.

• Journal of Internet of Things and Convergence
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• v.7 no.4
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• pp.9-14
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• 2021

In computing systems that require high reliability, the method of predicting the lifetime of a storage device is one of the important factors for system management because it can maximize usability as well as data protection. The life of a solid state drive (SSD) that has recently been used as a storage device in several storage systems is linked to the life of the NAND flash memory that constitutes it. Therefore, in a storage system configured using an SSD, a method of accurately and efficiently predicting the lifespan of a NAND flash memory is required. In this paper, a method for optimizing the lifetime prediction of a flash memory-based storage device using the frequency of NAND flash memory failure is proposed. For this, we design a cost matrix to collect the frequency of defects that occur when processing data in units of Drive Writes Per Day (DWPD). In addition, a method of predicting the remaining cost to the slope where the life-long finish occurs using the Gradient Descent method is proposed. Finally, we proved the excellence of the proposed idea when any defect occurs with simulation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.12
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• pp.1669-1674
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• 2012

A commonly analytical estimation of fatigue life on rubber components is using fatigue life equation based on various fatigue test results. However, such method has very restricted applicability in actual designing processes because performing fatigue tests requires a lot of time and money. In addition, non-standard rubber materials and their randomness make it hard to make databases. In this paper, the other fatigue life estimation method using tearing energy was suggested. We performed static and dynamic tearing test about automotive vibration rubber materials and a finite element formulation using a virtual crack to calculate the tearing energy of rubber components with complicated shapes. To using the suggested method, fatigue life of an automotive motor mount has been estimated and verified the reliability of this method by using comparison between the estimated values and the actual fatigue life.