시스템의 상태를 고려한 발전설비의 예방 유지보수 계획 수립

辛埈碩(Jun-Seok Shin),卞隆泰(Yoong-Tae Byeon),金鎭吾(Jin-O Kim),金炯徹(Hyung-Chul Kim) 대한전기학회 2008 전기학회논문지 Vol.57 No.8

Traditional maintenance planning is based on a constant maintenance interval for equipment life. In order to consider economic aspect for time based preventive maintenance, preventive maintenance is desirable to be scheduled by RCM(Reliability-Centered Maintenance) evaluation. The main objective of RCM is to reduce the maintenance cost, by focusing on the most important functions of the system and avoiding or removing maintenance actions that are not strictly necessary. So, Markov state model is utilized considering stochastic state in RCM. In this paper, a Markov state model which can be used for scheduling and optimization of maintenance is presented. The deterioration process of system condition is modeled by the stepwise Markov model in detail. Also, because the system is not continuously monitored, the inspection is considered. In case study, simulation results about RCM will be shown using the real historical data of combustion turbine generating unit in Korean power systems.

파라미터 위조, 변조 방지를 위한 URL 암호화 기술

신준석 ( Jun-seok Shin ),이덕규 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.1

url 은 사용자들에게 편의성을 제공하지만 이로 인해 발생하는 보안 문제점들이 있다. 파라미터 값을 변조해 발생하는 온라인 쇼핑몰 해킹이나 회사 내부망에서 관리자 페이지나 사내 기밀 게시판 등 평소라면 접근할 수 없는 숨겨진 페이지에 접근을 시도하는 문제점들이 발생해 이를 방지할 AES 방식의 url 암호화 기술을 구상해 보았다.

재난구조 장갑 로봇의 유압 머니퓰레이터 구조의 유한요소 해석과 검증 시험

신준석(Jun Seok Shin),김철(Cheol Kim),김종걸(Jong Geol Kim),김무림(Maolin Jin) 대한기계학회 2021 大韓機械學會論文集A Vol.45 No.12

재난 시 구조용 장갑 로봇시스템의 작동 팔에 해당하는 큰 가반하중 지지 6자유도 유압 머니퓰레이터에 대해서 정확한 위치 제어를 위한 처짐량 최소화 및 경량화하기 위한 유한요소 해석과 최적설계가 수행되었다. 유압실린더 등의 다양한 부품들과 5개 관절로 이루어진 유압 머니퓰레이터 구조의 유한요소 모델링에는 부품 간의 접촉, 볼트 체결, 유압작동유의 거동 등을 고려하였다. 머니퓰레이터가 펴졌거나 작업 시 구부린 자세에 대해서 모델링하고 자중 및 250 kgf 가반하중을 들고 있는 상황에 대해 처짐량을 계산하였다. 머니퓰레이터의 경량화는 위상최적화나 형상치수최적화를 통해 이루어졌다. 각각의 관절구조들에 대해 최적설계 모델을 생성하였으며 관절 조인트에 작용하는 하중조건으로는 전체 머니퓰레이터 구조해석의 결과에서 얻은 내력(internal loading)을 적용하였다. 실제 크기의 머니퓰레이터를 제작했고 가반하중 250 kgf 작용 시 처짐 변위를 측정하여 유한요소 해석 결과와 비교하였다. 측정변위는 47.3 mm, FEA 결과는 43.3 mm로 8.4%의 오차를 보였다. Finite element analysis (FEA) and optimal design were performed to minimize the amount of deflection and reduce the weight for accurate position control of a six-degree-of-freedom hydraulic manipulator used as an operating arm of an armored robot system for rescue in the event of a disaster. For the finite element modeling of the manipulator structure comprising various parts, such as hydraulic cylinders and five joints, the contacts between the parts, bolting, and behavior of the hydraulic fluid were considered. In the FEA, the manipulator was modeled for the unfolded or bent posture during working, and the deflection was calculated under loading with its own weight and a payload of 250 kgf. Weight reduction was achieved through topology or size optimization. An optimal design model was created for each joint component, and the internal loading obtained from structural analysis of the entire manipulator was applied as the load acting on the joint. A real-sized manipulator was manufactured, and the displacement was measured for a payload application of 250 kgf; further, these results were compared with those of the FEA. The measured displacement was 47.3 mm, and the FEA result was 43.3 mm, showing an error of 8.4%.

Markov State Model을 이용한 복합화력 발전설비의 최적의 유지보수계획 수립

신준석(Jun-Seok Shin),이승혁(Seung-Hyuk Lee),김진오(Jin-O Kim) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.11

Traditional time based preventive maintenance is used to constant maintenance interval for equipment life. In order to consider economic aspect for time based preventive maintenance, preventive maintenance is scheduled by RCM(Reliability-Centered Maintenance) evaluation. So, Markov state model is utilized considering stochastic state in RCM. In this paper, a Markov state model which can be used for scheduling and optimization of maintenance is presented. The deterioration process of system condition is modeled by a Markov model. In case study, simulation results about RCM are used to the real historical data of combustion turbine generating units in Korean power systems.

비용을 고려한 발전설비의 예방유지보수 계획 수립

김형준(Hung-Jun Kim),신준석(Jun Seok Shin),김진오(Jin O Kim),김형철(Hyung Chul Kim) 한국조명·전기설비학회 2007 한국조명·전기설비학회 학술대회논문집 Vol.2007 No.5월

Traditional maintenance planning is based on a constant maintenance interval for equipment life. In order to consider economic aspect for time based preventive maintenance, preventive maintenance is desirable to be scheduled by RCM(Reliability-Centered Maintenance) evaluation. The main objective of RCM is to reduce the maintenance cost, by focusing on the most important functions of the system and avoiding or removing maintenance actions that are not strictly necessary. So, Markov state model is utilized considering stochastic stale in RCM In this paper, a Markov stale model which can be used for schedul ing and optimization of maintenance is presented. The deterioration process of system condition is modeled by the stepwise Markov model in detail. Also, because the system is not continuously monitored, the inspection is considered In case study, simulation results about RCM will be shown using the real historical data of combustion turbine generating unit in Korean power systems.

결함수분석법과 퍼지논리를 이용한 FMECA 평가

김동진(Dong-Jin Kim),신준석(Jun-Seok Shin),김형준(Hyung-Jun Kim),김진오(Jin-O Kim),김형철(Hyung-Chul Kim) 한국철도학회 2007 한국철도학회 학술발표대회논문집 Vol.- No.-

Failure Mode, Effects, and Criticality Analysis (FMECA) is an extension of FMEA which includes a criticality analysis. The criticality analysis is used to chart the probability of failure modes against the severity of their consequences. The result highlights failure modes with relatively high probability and severity of consequences, allowing remedial effort to be directed where it will produce the greatest value. However, there are several limitations. Measuring severity of failure consequences is subjective and linguistic. Since The result of FMECA only gives qualitative and quantitative informations, it should be re-analysed to prioritize critical units. Fuzzy set theory has been introduced by Lotfi A. Zadeh (1965). It has extended the classical set theory dramatically. Based on fuzzy set theory, fuzzy logic has been developed employing human reasoning process. IF-THEN fuzzy rule based assessment approach can model the expert"s decision logic appropriately. Fault tree analysis (FTA) is one of most common fault modeling techniques. It is widely used in many fields practically. In this paper, a simple fault tree analysis is proposed to measure the severity of components. Fuzzy rule based assessment method interprets linguistic variables for determination of critical unit priorities. An rail-way transforming system is analysed to describe the proposed method.

Markov State Model을 이용한 복합화력 발전설비의 최적의 유지보수계획 수립

李丞爀(Seung-Hyuk Lee),辛埈碩(Jun-Seok Shin),金鎭吾(Jin-O Kim) 대한전기학회 2007 전기학회논문지 Vol.56 No.2

Traditional time based preventive maintenance is used to constant maintenance interval for equipment life. In order to consider economic aspect for time based preventive maintenance, preventive maintenance is scheduled by RCM(Reliability-Centered Maintenance) evaluation. So, Markov state model is utilized considering stochastic state in RCM. In this paper, a Markov state model which can be used for scheduling and optimization of maintenance is presented. The deterioration process of system condition is modeled by a Markov model. In case study, simulation results about RCM are used to the real historical data of combustion turbine generating units in Korean power systems.

복합화력발전기의 신뢰도 기반 유지보수를 위한 학률론적 FMECA 평가

朱宰明(Jae-Myung Joo),李丞爀(Seung-Hyuk Lee),辛埈碩(Jun-Seok Shin),金鎭吾(Jin-O Kim) 대한전기학회 2007 전기학회논문지 Vol.56 No.2

PM(Preventive Maintenance) can avail the generating unit to reduce cost and gain more profit in a competitive supply-side power market. So, it is necessary to perform reliability analysis on the power systems in which reliability is essential. Thus, to schedule optimal PM planning based on reliability that is defined RCM(Reliability-Centered Maintenance), FMECA(Failure Mode Effects and Criticality Analysis) assessment is very important. Therefore, in this paper, the procedure of FMECA assessment for optimal RCM is proposed by probabilistic approach using real historical failure data of combustion-turbine generators in Korean power systems. The stochastic FMECA is performed based on the effects of probable failure modes of combustion-turbine generating unit.