• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
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• pp.488-491
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• 2005

본 논문에서는 인공지능을 이용해서 엔진오일을 자동으로 교환시스템을 제안 하고자 한다. 모범운전자도, 엔진오일을 교환하는 시기를 정확하게 예측하기란 매우 어렵다. 왜냐하면 엔진오일 색깔이 검은색이거나 주행거리가 3000 km 이상이 되었을 때에 엔진오일을 교환해야만 하는 것이 아니기 때문이다. 최적의 엔진오일 교환시기를 예측하기 위해서는 엔진오일 색깔, 엔진오일 점도와 도로조건, 급제동 및 급발진 조건을 고려해야하기 때문이다. 그러므로 본 논문에서는 이러한 문제점을 해결하기 위해서 퍼지규칙 및 신경망을 이용해서 엔진오일교환시기를 예측하는 전문가시스템을 개발하였다.

• 산업경영시스템학회지
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• 제34권4호
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• pp.169-178
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• 2011

In this study, a forecasting engine from the user perspective is studied and developed. Characteristics of forecasting engine can be divided into a few categories, an algorithms for predicting variety of situations and the depth of algorithms based on the number and the types of data. Then applying a variety of algorithms that most closely match the predicted values for the actual value that deduce criteria for selecting an appropriate forecasting algorithm is to organize. Through the forecast quality assessment, the suggested distribution algorithm compared to the existing demand forecast algorithms is good indicators for its accuracy.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2009년도 제33회 추계학술대회논문집
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• pp.557-560
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• 2009

현재 운용중인 UAV(Unmanned Aerial Vehicle) 추진기관의 현황 및 추진기관 종류에 따른 장, 단점을 분석하였으며, 차세대 UAV 추진기관의 개발 전망 및 UAV 추진기관에 적용될 가스터빈 엔진의 특성 및 요구조건을 제시하였다.

• 대한전자공학회논문지TE
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• 제42권4호
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• pp.15-20
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• 2005

엔진오일 교환 시기 예측은 엔진의 수명을 연장하고 연비를 증가시킨다. 그러나, 엔진오일의 교환 시기는 자동차를 주행한 거리나, 장거리를 운행한 차량, 단거리를 운행한 차량, 엔진오일의 종류 등에 따라서 크게 달라진다. 본 논문에서는 엔진오일 교환 시기를 예측함에 있어서 단지 주행 거리나 엔진오일의 색깔의 변화 등의 데이터를 퍼지 및 신경망 알고리즘을 이용하여 값을 구하였다. 모의실험결과, 지능형 엔진오일 교환 시스템이 기존의 사람이 예측하여 결정하는 방식 보다는 더 정확하게 엔진 오일을 교환할 수 있음을 입증할 수 있었다. 따라서 지금의 자동차에 이러한 알고리즘을 적용한다면 보다 편리한 차량이 될 것으로 기대한다.

• 전기학회논문지
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• 제64권12호
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• pp.1666-1672
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• 2015

Small islands are quite adequate places where microgrid system with renewable sources can replace diesel engines as operation costs of diesel engine in most small islands are very high. To get the large amount of renewable energy, the microgrid system has very large capacity of renewable sources. The system with large capacity of renewable sources can meet the case when supplied energy is greater than the load and the fluctuation of source output is very large. The battery energy storage system can be a solution to stabilize the system with large capacity of renewable sources. In this case, BESS can be utilized as a master source for the synchronous operation of all sources including diesel engine, wind turbine and PV. The diesel generators can be used as a backup in case the BESS SOC goes below a certain level. In this paper, we suggest a novel unit commitment of diesel generators and operation schedule of pump for water supply service with the information of wind forecast, PV forecast, and load forecast. The proposed methods has been implemented and tested at the test bed in Gasa-Island.

• 동력기계공학회지
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• 제19권5호
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• pp.67-72
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• 2015

The reliable operation of onsite emergency diesel generator(EDG) should be ensured by a conditioning monitoring system designed to maintain, monitor and forecast the reliability level of diesel generator. The purpose of this paper is to develop condition diagnosis algorithm(logic) and analysis program of engine for the accurate diagnosis in actual condition of emergency diesel generator engine. As a result of this study, we confirmed that developed engine condition diagnosis algorithm and analysis program could be efficiently applied for actual EDG engine in nuclear power plant.

• Tribology and Lubricants
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• 제30권3호
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• pp.156-167
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• 2014

This paper presents the test results of small dipstick-gage-type engine-oil-deterioration-detection sensor. The measured sensor signal characteristics for the capacitance and temperature are analyzed. The engine oil deterioration condition correlates with the electrical property of the dielectric constant that comprised with physical properties such as TAN (Total Acid Number), TBN (Total Base Number) and viscosity. Several problems encontered during the test of the sensor system are improved. The results of vehicle tests show that the capacitance signal is stable after the engine stops. Therefore, the sensor should start measuring the parameters for monitoring the engine oil condition after the engine stops. The engine is considered to be in a stopped state if the difference between the maximum and minimum values of the oil capacitance measured every 1 min is below 0.02 pF. The key test results in this paper will help in the development of an engine oil change warning algorithm.

• 한국산림과학회지
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• 제99권2호
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• pp.197-203
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• 2010

The data of average temperature, average relative humidity, precipitation and average wind speed were collected from 674 meteorological stations in China. A specific procedure that processes original data into a new data format needed in forest fire danger rating forecast system of China was introduced systematically, and the feasibility of this method was validated in this paper. In addition, a set of meteorological data processing software was constructed by the secondary development of GIS in order to realize automation of processing data for the system. Results showed that the approach preformed well in handling temperature, average relative humidity and average wind speed, and the processing effect of precipitation was acceptable. Moreover, the automated procedure could be achieved by GIS and the working efficiency was about 3 times as much as that of manual handling. The informationization level of processing meteorological data was greatly enhanced.

• International journal of advanced smart convergence
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• 제7권3호
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• pp.73-78
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• 2018

This study focuses on presenting the IT program module provided by BKLS measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. Barron at al(1998) set up a BKLS measure to guide the market by intermediate analysts. The BKLS measure was measured by using the changes in the analyst forecast dispersion and analyst mean forecast error squared. This study suggests a model of the algorithm that the BKLS measure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market as measured. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine. Because BKLS measure is not carried out in a concrete method, it is practically very difficult to estimate the BKLS measure. It is expected that the BKLS measure of Barron at al(1998) introduced in this study and the model of IT module provided in real time will be the starting point for the follow-up study for the introduction and realization of IT technology in the future.

• 동력기계공학회지
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• 제17권4호
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• pp.31-35
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• 2013

The emergency AC power supply system of the nuclear power plant is designed to supply the power to the nuclear power plant at the emergency operating condition. The safety function of the diesel generator at the nuclear power plant is to supply AC electric power to the safety system whenever the preferred AC power supply is unavailable. The reliable operation of onsite standby diesel generator should be ensured by a condition monitoring system designed to maintain, monitor and forecast the reliability level of diesel generator. The purpose of this paper is to improve the existing ultrasonic sensor used for condition diagnosis of engine fuel pump and cylinder head for the accurate diagnosis in actual engine condition of emergency diesel generator(EDG). As a result of this study, we could design and develop much more reliable ultrasonic sensor than existing ones.