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RISS 인기검색어
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- 저자 : 임인섭(Lim In-Seop) (검색결과 31 건)
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서포트 벡터 머신을 이용한 고분자 전해질막 연료전지 열관리 시스템의 고장 진단
임인섭(In Seop Lim),박진영(Jin Young Park),김민수(Min Soo Kim) 대한기계학회 2018 대한기계학회 춘추학술대회 Vol.2018 No.12
In this work, fault diagnosis of PEMFC thermal management system has been investigated in component level. For component level diagnosis, unlike conventional model-based study, experimental apparatus of thermal management system was setup. The system consists of coolant pump, mass flow meter, fan-radiator module, coolant reservoir and heat exchanger simulating a fuel cell which will be replaced by real fuel cell stack in later study. Using electric relay, pump signal and some physical methods, six faults state and normal state were simulated in experiment. Support vector machine was used for diagnosis and classification tool. Data sets from experiment were divided into training and testing sets. Training sets were used to train SVM model, and trained SVM model classified the testing sets for validation. The test results indicate it is possible to diagnose component level failure and SVM can be used to fault diagnosis tool.
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분할 연료전지 모델링을 통한 저가습 상황에서 연료전지 내 전류밀도 분포 분석
임인섭(In Seop Lim),박진영(Jin Young Park),강동균(Dong Gyun Kang),최성훈(Sung Hoon Choi),김민수(Min Soo Kim) 대한기계학회 2019 대한기계학회 춘추학술대회 Vol.2019 No.11
In this work, a segmented fuel cell model considering the cathode gas diffusion layer (GDL) property is developed to investigate the local current density distribution of PEMFC under low humidity condition. One dimensional mass transfer model, electrochemical model and Leveret J-function are used in developing the model. The liquid water saturation of the cathode GDL is considered in the model. The simulation results show that the local current density increases from the reactant gas inlet (1 segment) to the outlet (25 segment), which is due to membrane hydration by water generated in chemical reaction. So the slope of the local current density is bigger in the lower operating voltage due to more produced water.
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임인섭(Lim In Seop),최석근(Choi Seok Keun),이재기(Lee Jae Kee) 대한공간정보학회 2002 대한공간정보학회지 Vol.10 No.3
Recently, many studies extracting the geography information using digital aerial image have been implemented. But it is very difficult that automatically recognizing objects using edge detection method on the aerial image, and so that work have practiced manually or semi-automatically. Therefore, in this study, we have removed impedimental elements for recognition using the image which overlapped the significant information bands of brightness-sliced aerial images, then have developed the algorithm which can automatically recognize and extract road information and we will try to apply that method when we develop a system. For this, first of all, we have developed the template conformal-transformation moving operator for automatically recognizing crosswalk area from crosswalk band image and the window normal search algorithm which is able to track road area based on long-side length of crosswalk, so that we have proposed the method that can extract directly the road information from the aerial image.
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