• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.802-809
• /
• 2021

To cope with the increasing maintenance costs due to aging, the maintenance cost was evaluated from the perspective of asset management. The maintenance cost can be predicted based on the condition of the bridge, and the life cycle cost is used as an index. In general, the condition of a bridge has a wide distribution characteristic depending on the deterioration, load, and material characteristics. In this paper, to evaluate the effect of the bridge conditions on the life cycle cost, condition prediction models were constructed considering the service life, deterioration rate, and inspection error, which are the main variables of the bridge condition and life cycle cost calculation. In addition, condition prediction models were constructed based on the distribution of the health index to estimate the upper and lower bounds of the life cycle costs that can occur in individual bridges. Life cycle cost analysis showed that the life cycle cost differed significantly according to the condition of the bridge. Accordingly, research will be needed to increase the reliability of predicting the life cycle cost of individual bridges.

• Journal of IKEEE
• /
• v.26 no.4
• /
• pp.531-536
• /
• 2022

In order to efficeintly manage a battery, it is important to accurately estimate and manage the SOH(State of Health) and RUL(Remaining Useful Life) of the batteries. Even if the batteries are of the same type, the characteristics such as facility capacity and voltage are different, and when the battery for the training model and the battery for prediction through the model are different, there is a limit to measuring the accuracy. In this paper, We proposed the entropy index using voltage distribution and discharge time is generalized, and four batteries are defined as a training set and a test set alternately one by one to predict the health status of batteries through linear regression analysis of machine learning. The proposed method showed a high accuracy of more than 95% using the MAPE(Mean Absolute Percentage Error).

• Journal of IKEEE
• /
• v.26 no.4
• /
• pp.545-552
• /
• 2022

The number of patent application filing for a specific technology has a good relation with the technology's life cycle and future industry development on that area. So industry and governments are highly interested in forecasting the number of patent application filing in order to take appropriate preparations in advance. In this paper, a new method based on the bidirectional long short-term memory(LSTM), a kind of recurrent neural network(RNN), is proposed to improve the forecasting accuracy compared to related methods. Compared with the Bass model which is one of conventional diffusion modeling methods, the proposed method shows the 16% higher performance with the Korean patent filing data on the five selected technology areas.

• Journal of the Society of Naval Architects of Korea
• /
• v.35 no.2
• /
• pp.74-82
• /
• 1998

To evaluate the reliability against fatigue failure of offshore structures, a fatigue reliability analysis model based on the probabilistic approach has been developed. In this model, the simplified method is adopted as a fatigue analysis method. The uncertainties included in the fatigue analysis are considered as random variables and their statistical properties are evaluated as quantitatively as possible using existing data. As an example, the developed fatigue reliability model is applied to the jacket. And then the relative significance of each uncertainty on the probability of fatigue failure is surveyed.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.107-108
• /
• 2011

납축전지는 전 세계 수천만 자동차부터 골프카트. 오토바이 등 동력기계에는 필수 장치로 널리 사용되고 있기 때문에 전지의 수명을 정확히 예측하고 평가하는 것이 중요하다. 본 논문에서는 납축전지의 충. 방전 특성을 고려해 동적 모델을 구현해 보았다. 회로의 구현을 위해 각기 다른 수명의 전지를 테스트하였고, 나타나는 특성 그래프의 변수들을 프로그래밍기법을 활용하여 전지의 특성을 해석할 수 있는 전기적 회로로 모델링하였다.

• Journal of the Korea Concrete Institute
• /
• v.22 no.2
• /
• pp.209-217
• /
• 2010

Recently, some mathematical models for the prediction on progress of carbonation of concrete were reported. These models take account for $CO_2$ diffusion and chemical reaction between $Ca(OH)_2$ and $CO_2$. Based on the assumption that $CO_2$ diffuses in the carbonation zone and reacts with $Ca(OH)_2$ at the outer face of carbonation zone and non-carbonation zone. In this study, a mathematical model to predict the progress of carbonation of concrete has been established based on the reducing concentration of $Ca(OH)_2$ in the carbonation progress zone, where $Ca(OH)_2$ reacts with $CO_2$ and $Ca(OH)_2$ and $CaCO_3$ coexist. Also, the prediction model of carbonation progress rate of concrete using the air permeability coefficient regarding to $CO_2$ diffusion is developed. As a result of this study, an expression, the model equation is obtained for the prediction of carbonation based on the time and interaction velocity between $CO_2$ and Ca(OH)$_2$ dependent air permeability coefficient. The prediction by the model satisfied the experimental data of the accelerated carbonation for painted concrete. Consequently, the model can predict the rate of carbonation and the potential service life of concrete structure exposed to atmosphere.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2002.11a
• /
• pp.473-479
• /
• 2002

NHPP에 근거한 SRGM을 구성하는 새로운 안을 제시한다. 본 논문의 주요 초점은 소프트웨어 신뢰도모델링에서 효과적인 파라미터분해기법을 제공하는 것이다. 이는 테스트노력과 결함검출비를 동시에 고려하는 것이다. 일반적으로, 소프트웨어결함검출/제거메카니즘은 이전의 검출/제거결함과 테스트노력을 어떻게 활용하느냐에 달려있다. 실제 현장 연구로부터 우리는 테스트노력소모패턴을 추론하여 FDR의 경향을 예측할 수 있을 것으로 생각된다. 결함검출이 증가, 감소 및 일정한 것 등 광범위에 걸쳐서 나타나는 경향을 잡아내는 고유의 융통성을 가지는 하나의 시변수집합인 FDR모델에 근거한 테스트노력을 개발하였다. 이 스킴은 구조에 융통성이 있어서 여러 가지 테스트노력을 고려하여 광범위한 소프트웨어 개발 환경을 모델화할 수 있다 본 논문에서는 FDR을 기술하고, 관련된 테스트 행위를 이러한 새로운 모델링접근법에 연합시킬 수 있다. 우리의 모델과 그리고 이것과 관련된 파라미터 분해기법을 적용한 것을 여러 가지 소프트웨어 프로젝트에서 도출한 실제 데이터집합을 통하여 시연한다. 분석결과에 의하면 SRGM에 관한 테스트노력과 FDR을 결합하기 위한 제안된 구조가 상당히 정확한 예측능력을 보여주고 있으며, 실제 수명상황을 좀더 정대하게 설명해 준다. 이 기법은 광범위한 소프트웨어시스템에 쓰일 수 있다.

• Electrical & Electronic Materials
• /
• v.27 no.10
• /
• pp.11-21
• /
• 2014

1975년 이후로 태양전지 평가 실험실과 제조업체들이 직접적으로 많은 노력을 하여 태양전지 모듈에 대한 가속 스트레스 평가를 개발하고 평가하였다. 이 노력들은 이미 알려진 불량 메커니즘을 토대로 모듈 디자인의 민감한 취약 부분을 발견하기 위한 평가를 목적으로 평가 순서/방법 표준화에 많은 기여를 하였다. 이러한 평가 순서/방법은 국가와 국제 모듈 규격 표준화에 적용되었다. 그리고, 실제 외부에서 설치되어 한 번도 문제가 발생되지 않은 평가들은 중간에 제거 되기도 하였다. 가장 대표적인 예로 twist test는 모듈 설치 후 발생되는 불량에 대한 평가이지만, 실제로 불량은 한번도 발견되지 않았다. 덧붙여서, 표준 평가들은 많은 특화된 가속평가를 사용하게 되는데, 이는 문제점들을 조사하거나 특정 모듈 디자인에 대한 잠재적인 불량을 조사하기 위함이다. 실제 수명예측을 위한 가속평가는 가속 인자의 지식이 반드시 필요하지만, 태양전지 분야에서는 문헌이 많이 부족하다. 많은 연구자들이 85/85 DH 평가시간과 습한 지역에서 수년 간 사용된 모듈과의 상관관계를 만들기 위해 시도 하였다. 그리고 이 모델은 DH 평가 표준시간인 1,000시간으로 정의하는데 많은 영향을 미치기도 했다. 하지만, 이 모델은 단지 단일 모드 불량일 경우에만 적용이 되는 것이다. 다른 불량에 대한 가속인자들은 여전히 잘 알려져 있지 않다. 따라서, 모듈이 비록 표준 규격시험을 통과했다고 하더라도 제품이 특정 기간 동안 전력을 생산할 수 있다고 말할 수 없다. 또한, 이 표준평가가 모든 불량 메커니즘에 대한 평가가 되지 않기 때문에 제품의 수명을 결정하는데 사용될 수 없다.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.37 no.9
• /
• pp.1151-1158
• /
• 2013

Knowledge of the moisture sorption properties of a material is essential for optimal material development and analysis of the delamination failure caused by vapor pressure at the interlayer during the manufacturing process of integrated packaging devices. In this paper, both temperature dependent absorption and desorption properties according to temperature and humidity model are parameterized and the effects of water activities and temperature are discussed. The activation energy obtained from the parameterized diffusivity determines the acceleration factor for the equivalency of moisture sorption levels, which enables the effect of moisture diffusivity on the equivalent elapsed testing time required for evaluating the reliable life time to be estimated. The acceleration factor evaluated at the reliability testing standard of the flexible packaging module is exampled.

• Journal of the Korea Concrete Institute
• /
• v.15 no.6
• /
• pp.902-912
• /
• 2003

The most common deteriorating processes of concrete structures are carbonation and chloride ion ingress. Many concrete structures have been suffered from chloride ions diffusion or carbonation induced reinforcement corrosion damage and many studies have been done on it. However, those studies were confined mostly to the single deterioration of carbonation or chloride attack only, although actual environment is rather of combined conditions. In case of many in-situ concrete structures, deterioration happened more for the case of combined attack than the single case of carbonation or chloride attack. In this paper, chloride profiles of carbonated concrete is predicted by considering two layer composite model, which is based on Fick's 2nd law. From the experimental result on combined deterioration of chloride and carbonation, it was examined that high chloride concentration was built up to 3∼5 mm over depth from carbonation depth. The analytical modeling of chloride diffusion was suggested to depict the relative influence of the carbonation depth. The diffusion coefficients of carbonation concrete and uncarbonated concrete with elapsed time were considered in this modeling.