• 반도체디스플레이기술학회지
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• 제21권1호
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• pp.17-21
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• 2022

In the case of the manufacturing industry that produces high-tech components such as semiconductors and large flat panel displays, the manufacturing space is made into a cleanroom to increase product yield and reliability, and various environmental factors have been managed to maintain the environment. Among them, airborne particle is a representative management item enough to be the standard for actual cleanroom grade, and a sequential particle monitoring system is usually used as one parts of the FMS (Fab or Facility monitoring system). However, this method has a problem in that the measurement efficiency decreases as the length of the sampling tube increases. In this study, in order to solve this problem, a multiple regression model was created. This model can correct the measurement error due to the decrease in efficiency by sampling tube length.

• 반도체디스플레이기술학회지
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• 제22권1호
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• pp.1-5
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• 2023

Most of the production process is performed in a cleanroom in the case of facilities that produce semiconductor chips or display panels. Therefore, environmental management of cleanrooms is very important for product yield and quality control. Among them, airborne particles are a representative management item enough to be the standard for the actual cleanroom rating, and it is a part of the Fab or Facility monitoring system, and the sequential particle monitoring system is mainly used. However, this method has a problem in that measurement efficiency decreases as the length of the sampling tube increases. In addition, a statistically significant test of deterioration in efficiency has rarely been performed. Therefore, in this study, the statistically significant test between the number of particles measured by InSitu and the number of particles measured for each sampling tube ends(Remote). Through this, the efficiency degradation problem of the sequential particle monitoring system was confirmed by a statistical method.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.370-377
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• 2000

The red ginseng is very popular as a health food. It has been manufactured with raw ginseng by the conventional method. But, the yield of the heaven grade ginseng (the best quality red ginseng) among the whole products is around 5-7％, Therefore, the yield should be improved in order to increase economic returns. In this study, a new model of drying system was developed to improve the yield of heaven grade ginseng from 7% to 15% or more. For this system, temperature and relative humidity were controlled by the feedback control system, and a solenoid valve for steam supply and other variables were controlled by the PC. The special features of this system developed are an image processing system for monitoring the red ginseng during the drying process in the drying chamber, and a cylindrical porous tray for holding ginseng that is rotating with the speed of 0-10rpm in the drying chamber and makes uniform drying of red ginseng possible.

• 한국태양에너지학회 논문집
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• 제27권2호
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• pp.29-35
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• 2007

Monitoring system is constructed for evaluating and analyzing performance of installed 50kW grid-connected PV system and have been monitored since October 2005. As climatic and irradiation conditions have been varied through long-term operation, there is necessity for evaluating numerical values of PV(Photovoltaic) system performance to observe the overall effect of environmental conditions on their operation characteristics. This paper presents performance monitoring results and analysis on component perspective(PV array and power conditioning system) and global perspective(yield, losses) of PV system for one year monitoring periods.

• 한국소음진동공학회논문집
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• 제19권4호
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• pp.393-399
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• 2009

Historically, industrial condition monitoring has been performed by costly hard-wired sensors or infrequent checks by maintenance personnel equipped with hand held monitoring equipment. Self- powered wireless condition monitoring systems provides on-line monitoring of critical plant and machinery providing major operating cost benefits. A vibration energy harvester(VEH) is a device that converts kinetic energy occurred by machine vibration into useable electrical energy. Using VEHs to power wireless monitoring systems can yield significant benefits: increased reliability, lower life time costs and no battery disposal issues, etc. This paper proposes the novel prototype design and manufacturing of a VEH that can eliminate the effect by failed batteries.

• 산업경영시스템학회지
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• 제32권2호
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• pp.132-139
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• 2009

Yield is a very important measure that can expresses simply for productivity and performance of company. So, yield is used widely in many industries nowadays. With the development of the information technology and online based real-time process monitoring technology, many industries operate the production lines that are developed into automation system. In these production lines, the product structures are very complexity and variety. So, there are many multi-variate processes that need to be monitored with many quality characteristics and associated process variables at the same time. These situations have made it possible to obtain super-large manufacturing process data sets. However, there are many difficulties with finding the cause of process variation or useful information in the high capacity database. In order to solve this problem, neural networks technique is a favorite technique that predicts the yield of process for process control. This paper uses a neural networks technique for improvement and maintenance of yield in manufacturing process. The purpose of this paper is to model the prediction of a sub process that has much effect to improve yields in total manufacturing process and the prediction of adjustment values of this sub process. These informations feedback into the process and the process is adjusted. Also, we show that the proposed model is useful to the manufacturing process through the case study.

• 한국구조물진단유지관리공학회 논문집
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• 제16권1호
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• pp.99-109
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• 2012

이 연구에서는 변형률계를 사용하여 변위를 추정하는 이론식을 제안 및 검증하고 하중 작용점과 크기를 추정하여 강재보의 건전도 평가 시스템을 개발하고자 하였다. 실험결과 160kN(항복하중의 56%)가력시 최대처짐 점에서 변형률계를 사용하여 얻는 처짐과 변위계의 측정처짐과의 오차율이 2%이내로 나타났으며 하중작용점 및 크기의 추정도 오차율1% 이내로 나타났다. 이를 통해 변형률계로 강재보의 변위 및 하중을 계측 할 수 있으며 나아가 변위계와 하중계의 생략으로 경제적인 센서설계를 할 수 있다. Lab VIEW로 구현된 건전도 평가 프로그램은 측정된 데이터가 일정 범위(강도 한계상태, 사용성 한계상태, 항복변형률)를 넘어설 때 단계별 경고를 발생하였고 변형률계 만으로 사용성한계상태와 강도한계상태를 동시에 모니터링 할 수 있었다.

• 전기전자학회논문지
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• 제23권1호
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• pp.22-28
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• 2019

본 연구는 차량용 보링 생산 공정에서 기계적인 에러를 체크하기 위한 품질 체크용 모니터링 시스템을 개발한다. 기계적인 에러는 이상적인 절단경로와 비교하여 실제 절단경로의 공간위치 차이에서 나타난다. 제조공정 제품의 오차를 모니터하기 위해 제품의 인지왜곡, 죄임 에러, 기계공구의 회전과 운동에러의 반경회전과 같이 보링 품질에 영향을 미치는 다수 요소들을 설명한다. 생산품질을 입증하기 위해 IT 융합에 기반한 공정 에러율을 분석하고 분석 데이터를 메모리에 저장하는 품질체크 방법을 제안한다. 따라서 불량 생산 제품을 감지함으로써, 생산 코스트와 베어링의 손실을 줄일 수 있다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 추계학술대회 논문집
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• pp.375-376
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• 2012

• 생물환경조절학회지
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• 제8권4호
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• pp.232-241
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• 1999

본 논문에서는 온실재배 토마토에서 수분 상태를 고려한 정밀한 관개를 위하여 경직경의 변화에 근거한 자동관개 시스템을 구현하고자 하였으며 이와 같은 작물적 지표에 의한 관개제어시스템을 포트재배(closed feeding system) 조건과 포장재배 조건의 재배에 적용하여 토마토의 수량과 과실의 품질에 대하여 그 적합도를 평가하였다. 작물적 지표에 의한 관개 자동화를 위하여 경직경 측정 센서를 이용하여 측정한 경직경 일증가량(DI)를 관개 개시점의 결정에 이용하고, 동시에 이때의 관개량을 결정하기 위하여 토마토 증산모델을 적용한 마이크로 컴퓨터 자동관개 시스템을 구현하고 그 성능을 평가하였는데, 이 자동 관개 시스템을 이용하여 관개처리한 결과 포트재배에서는 토양수분에 의한 관개방식보다 수량 및 과실의 당도가 증가하였으나 포장조건에서는 관개방법간에 큰 차이가 없었다. 따라서 경직경 증가에 근거한 관개 개시점을 판단하고 관계량을 결정하는 증산모델을 사용하는 컴퓨터 시스템은 특히 closed feeding System에서 유용하며 토양조건에서는 토양의 상태, 작물의 반응 등을 고려하여 적용하여야 할 것으로 판단되었다.