• 한국신뢰성학회지:신뢰성응용연구
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• 제11권4호
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• pp.357-369
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• 2011

Eco-robot for collecting recycling products is the machine which collects non-industrial wastes such as cans, PET bottles and etc. to reuse them as recycling resources. This eco-robot is operated in the condition that it should compress and hold various products without knowing their geometric shapes and material properties. For this reason reliability problems like malfunction or failure. comes to emerge, but the reliability test conditions to assess its performance and durability have not been founded yet. Therefore in this research failure mechanism of the eco-robot was analyzed and life test equipment which can reproduce actual usage conditions was developed. The compression levels in the life test were determined by measuring the crushing force acting on test products and Furthermore the test specimens which have equivalent shape and material properties with those of cans and PET bottles were proposed by simulating the deformation characteristics so that the actual compression conditions were set up in the test.

• Journal of information and communication convergence engineering
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• 제17권2호
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• pp.128-134
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• 2019

Based on the concept of Industry 4.0, various sensors are attached to facilities and equipment to collect data in real time and diagnose faults using analyzing techniques. Diagnostic technology continuously monitors faults or performance degradation of facilities and equipment in operation and diagnoses abnormal symptoms to ensure safety and availability through maintenance before failure occurs. In this paper, we propose a model to analyze the data and diagnose the state or failure using machine learning. The diagnosis model is based on a support vector machine (SVM)-based diagnosis model and a self-learning one-class SVM-based diagnostic model. In the future, it is expected that this model can be applied to facilities used in the entire industry by applying the actual data to the diagnostic model proposed in this paper, conducting the experiment, and verifying it through the model performance evaluation index.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제59차 동계학술대회논문집 27권1호
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• pp.219-220
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• 2019

교내 기자재가 고장이 나면 사용자는 수리하는 담당자에게 직접 연락을 하여 조취를 취한다. 고장수리 담당자의 처리 여부에 대한 확인은 유선으로 상호간에 확인하는 방법뿐이다. 본 연구를 통해 고장 난 기자재를 처리하고 싶은 사용자를 위해 실시간으로 처리 현황을 확인 할 수 있는 인터페이스와 기능을 지원하는 시스템을 개발하였다. 관리자는 해당 분류에 맞게 처리하는 담당자를 구별해 시스템에 글을 게시하고, 담당자는 담당 부서 게시물만 열람할 수 있도록 하여 빠른 일처리를 지원할 수있는 기능을 중점으로 개발하였다. 또한 하나의 기자재마다 책임자를 구별하고 처리 완료된 기자재의 종류의 기록과 통계를 사용자와 담당자가 보기 어려운 단위나 수치보다는 시각적인 효과를 받기 위한 그래프의 사용과 색상을 통하여 알림을 전해준다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.581-583
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• 2021

코로나19의 펜데믹 현상으로 인하여 모바일 서비스의 활용 비중이 높아지고 있다. 그러나, 대부분의 모바일 장비에 대한 이상 현상을 장비의 알람 중심으로 인지하므로, 복잡한 장애가 발생할 경우에 직관적으로 장비의 문제 판별하기 어려운 한계가 발생한다. 이를 보완하기 위해서 본 연구에서는 장비의 알람과 성능 정보를 조합하여 직관적으로 문제를 인지할 수 있도록 RRCF 알고리즘을 활용하여 Anomaly Score 생성하였으며, 과거 장애 이력을 97% 검출하는 효과를 검증하였다.

• 한국신뢰성학회지:신뢰성응용연구
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• 제14권4호
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• pp.230-235
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• 2014

The failure modes of pneumatic directional control valves include leakage, wear of the spool seal, and sticking of the spool. Among them, the main failure mode of the valve is leakage. The leakage is caused by the wear of the spool seal. However, due to the characteristics of the seal material, the leakage rate is fluctuated a lot rather than constantly increased over time. If life analysis is performed using the first time data of leakage failure, predicted life cycles can be different from the real life cycles. This paper predicts life cycles of the pilot pneumatic directional control valve based on the three point moving average which considers the average of the fluctuating leakage rate.

• 산업공학
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• 제25권4호
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• pp.422-430
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• 2012

In this article, we introduced the estimation method by 'Safety Integrity Level'(SIL) for the criterion of safety assurance and performed a case study on a flame scanner. SIL requires probabilistic evaluation of each set of equipment used to reduce risk in a safety related system. FMEDA(Failure Modes, Effects and Diagnostic Analysis) method is widely used to evaluate the safety levels and provides information on the failure rates and failure mode distributions necessary to calculate a diagnostic coverage factor for a part or a component. Basically, two parameters resulting from FMEDA are used for SIL classification of the device : SFF(Safe Failure Fraction) and PFD(Probability of Failure on Demand). In this case study, it is concluded that the flame scanner is designed to fulfill the condition of SIL 3 in the aspect of SFF and PFD.

• International Journal of Precision Engineering and Manufacturing
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• 제8권3호
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• pp.50-53
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• 2007

Improving the reliability or long-term dependability of a system requires a different approach from the previous emphasis on short-term concerns. The purpose of this paper is to present a reliability evaluation method for an oil cooler intended for high-precision machining centers. The oil cooler system in question is a cooling device that minimizes the deformation caused from the heat generated by driving devices. This system is used for machine tools and semiconductor equipment. We predicted the reliability of the system based on the failure rate database and conducted the reliability test using a test-bed to evaluate the life of the oil cooler. The results provided an indication of the reliability of the system in terms of the failure rate and the MTBF of the oil cooler system and its components, as well as a distribution of the failure mode. These results will help increase the reliability of oil cooler systems. The evaluation method can also be used to determine the reliability of other machinery products.

• 한국재료학회지
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• 제15권1호
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• pp.1-5
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• 2005

Copper-based leadframe sheets were immersed in two kinds of hot alkaline solutions to form brown-oxide or black-oxide layer on the surface. The oxide-coated leadframe sheets were molded with epoxy molding compound (EMC). After post mold curing, the oxide-coated EMC-leadframe joints were machined to form sandwiched double-cantilever beam (SDCB) specimens. The SDCB specimens were used to measure the fracture toughness of the EMC/leadframe interfaces under quasi-Mode I loading conditions. Fracture surfaces were analyzed by various equipment to investigate failure path. The present paper deals with the failure path, and the cause of the failure path formation with an adhesion model will be treated in the succeeding paper.

• 한국가스학회:학술대회논문집
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• 한국가스학회 2007년도 춘계학술발표회 논문집
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• pp.180-185
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• 2007

Likelihood analysis was used for the revision of release probability/frequency in chlorine Injection facilities used in chlorine process. Typically these facilities consist of pressure cylinder, vaporizer, pipeline, measuring equipment and safety equipment. This paper described the incident scenarios considered, likelihood analysis procedure and the selection and application of basic events and for failure rates of mechanical components. Human errors were also considered. The major objective of this paper is to estimate the likelihood of each determined incident scenarios. We estimated failure rates of mechanical components based on likelihood analysis procedure. Human errors were also considered. It was estimated to have $5.73{\times}10^{-5}\;Cl_2$ leak per year during the major $Cl_2$ handling process. The probability of failure in scrubber system was $4.11{\times}10^{-2}/demand$.

• 대한산업공학회지
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• 제39권6호
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• pp.599-608
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• 2013

This study is intended to propose optimal maintenance organization to process industry, especially paper industry by analyzing maintenance organization of paper industry and finding out how the maintenance organization and the allocation of maintenance resources influence maintenance performance indices here in this paper. In this study, we analyzed the maintenance organization in detail and studied correlation between maintenance organization and equipment failure rate for the major top six domestic paper-mills in market share. According to the study, the maintenance organization has been changed in accordance with its business environment, but its performance was different by both the allocation way of maintenance resources and the structure of maintenance organization. For paper industry, whose availability is the most important key index that determines the success or failure of a business, it turns out to be the most effective strategy that operates the combination maintenance combined central maintenance with area maintenance and allocates the maintenance resources mainly for preventive maintenance. In particular, it turned out to be that there is the strong positive correlation between the rate of shift workers and the equipment failure rate. The results of this study is not limited to paper industry, but expandable to other industry. So it is expected that the direction of the maintenance organization would be given to the company which is struggling to improve its availability.