• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.4
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• pp.467-474
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• 2010

Stainless steel sheets are widely used as the structural material for railroad cars and commercial vehicles. Structures made of stainless steel sheets are commonly fabricated by gas welding, For the fatigue design of gas welded joints such as fillet joints, it is necessary to obtain design information of the stress distribution at the weldment as well as the fatigue strength of the gas-welded joints. Further, the influence of the geometrical parameters of gas-welded joints on stress distribution and fatigue strength must be evaluated. in this study, ${\Delta}P-N_f$ curves were obtained by fatigue tests. and, the ${\Delta}P-N_f$ curves were rearranged on the basis of the ${\Delta}{\sigma}-N_f$ relation for the hot-spot stresses at the gas-welded joints. These results, were used for conducting an accelerated life test(ALT) From the experiment results, an acceleration model was derived and factors were estimated. The objective is to obtain the information required for the analysis of the fatigue lifetime of fillet welded joints and for data analysis by the statistic reliability method to save time and cost and to develop optimum accelerated life prediction plans.

• Journal of the Korean Institute of Gas
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• v.21 no.3
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• pp.61-69
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• 2017

The commercial development of unconventional gas is pursued in North America because it is more feasible owing to the technology required to improve productivity. Shale reservoir have low permeability and gas production can be carried out through cracks generated by hydraulic fracturing. The decline rate during the initial production period is high, but very low latter on, there are significant variations from the initial production behavior. Therefore, in the prediction of the production rate using deterministic decline curve analysis(DCA), it is not possible to consider the uncertainty in the production behavior. In this study, production rate of the Eagle Ford shale is predicted by Arps Hyperbolic and Modified SEPD. To minimize the uncertainty in predicting the Estimated Ultimate Recovery(EUR), Monte Carlo simulation is used to multi-wells analysis. Also, kernel density function is applied to determine probability distribution of decline curve factors without any assumption.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.33-41
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• 2022

In this article, we proposed to predict natural gas (NG) leakage levels through feature selection based on a factor analysis (FA) of the integrating the Korean Meteorological Agency data and natural gas leakage data for considering complex factors. The paper has been divided into three modules. First, we filled missing data based on the linear interpolation method on the integrated data set, and selected essential features using FA with OrdinalEncoder (OE)-based normalization. The dataset is labeled by K-means clustering. The final module uses four algorithms, K-nearest neighbors (KNN), decision tree (DT), random forest (RF), Naive Bayes (NB), to predict gas leakage levels. The proposed method is evaluated by the accuracy, area under the ROC curve (AUC), and mean standard error (MSE). The test results indicate that the OrdinalEncoder-Factor analysis (OE-F)-based classification method has improved successfully. Moreover, OE-F-based KNN (OE-F-KNN) showed the best performance by giving 95.20% accuracy, an AUC of 96.13%, and an MSE of 0.031.

• Journal of the Korean Institute of Gas
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• v.24 no.1
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• pp.56-65
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• 2020

Forecasting of coming fire accidents is quite a challenging problem cause normally fire accidents occur for a variety of reasons and seem randomness. However, if fire accidents that cause critical losses can be forecasted, it can expect to minimize losses through preemptive action. Classifications using machine learning were determined as appropriate classification criteria for the forecasting cause it classified as a constant damage scale and proportion. In addition, the analysis of the periodicity of a critical fire accident showed a certain pattern, but showed a high deviation. So it seems possible to forecast critical fire accidents using advanced prediction techniques rather than simple prediction techniques.

• 한국가스학회:학술대회논문집
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• 2000.09a
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• pp.22-26
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• 2000

• 한국가스학회:학술대회논문집
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• 1999.09a
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• pp.114-119
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• 1999

• Tribology and Lubricants
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• v.21 no.6
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• pp.296-301
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• 2005

피스톤-실린더-링 틈새를 통해 일어나는 오일소모와 브로바이가스 증가는 최소화되어야 하며, 한편으로는 연료저감 및 성능증가 개선 측면에서 피스톤 링 팩의 마찰 손실도 줄일 필요가 있다. 이러한 두 가지 측면에서, 피스톤 링 팩의 최적 설계에 대한 연구가 수행되어야 한다. 따라서 오일소모 및 브로바이가스의 앙은 엔진개발과정 및 필드에서의 엔진운전 중에 엔진의 상태가 좋은지 나쁜지를 판단하는 중요한 요인이 된다. 본 연구의 목적은 연소실 내로의 오일 흐름 량과 피스톤 링 팩을 지나 아래로 내려가는 가스흐름을 계산하여 엔진오일 소모 및 브로바이가스를 예측하는 컴퓨터 프로그램을 개발하는 것이다. 향 후 본 프로그램을 이용하여 엔진의 상태를 미리 예측할 수 있을 것으로 본다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.11a
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• pp.233-235
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• 2000

온실가스 배출량과 장래 저감 가능량의 산정은 기후변화협약 참여협상 및 저감대책 수립에 없어서는 안될 중요한 기초자료이다. 이를 위하여 본 연구에서는 환경부문(폐기물, 하폐수분야)의 온실가스 배출량을 추정하기 위한 배출계수와 관련 정책을 검토하고 이를 토대로 장래 온실가스 배출량을 예측하고 저감잠재량을 평가하고자 한다. (중략)

• Journal of the Korean Institute of Gas
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• v.4 no.3 s.11
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• pp.39-45
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• 2000

In general, most of the GIS only deal with materials and geometric data which just include position, radius, length of the structure. Therefore it's hard to get corrosion data from it. But the one that an owner of metallic structures want to know is the integrity of the structure. Cathodic Protection System can not protect corrosion on the underground facilities perfectly but protect corrsion effectively. It therefore is necessary to monitor the facilities continually So, we need the development of GIS interconnected a corrosion prediction system on the view point of the efficiency of operation and the protection for a big accident. The results of the development of its system are described in this paper. It can do life prediction and interference analysis and also newest corrosion data should be updated regularly.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2003.05a
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• pp.509-512
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• 2003

폐기물을 대상으로 하는 가스화공정은 환경문제와 에너지효율 문제에 동시에 접근할 수 있는 공정으로서 기존의 연소반응에 근거한 공정들을 점차 대체할 것으로 예측되고 있으며 많은 연구와 기술개발이 현재 진행되고 있다. 가스화용융 기술의 장점은 고유황, 고회분의 저급 석탄, 정유공장 부산물 및 도시폐기물까지도 강화되는 환경규제치를 만족하면서 깨끗한 에너지원으로 활용할 수 있다는 점이며, 발생된 고열량 생성가스의 정제를 통해서 연료로서 재활용이 가능하다는 것이다.(중략)