• 한국가스학회:학술대회논문집
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• 2001.10a
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• pp.167-172
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• 2001

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.164-170
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• 2010

This article explores the effects of the RBI(Robot Based Instruction) for promotion of students' interaction in elementary school. It was found that Cognitive Affective Metacognitive interaction is evenly spread in RBI. It was particularly high the ratio of metacognitive interaction. According to the analysis result of learner's activity by the detailing, it was observed that robot media promoted students' interaction. Also, metacognitive interaction about clarification and elaboration was promoted lively in the RBI situation. Therefore, RBI was helpful to promote of students' interaction in elementary school.

• Journal of the Korean Institute of Gas
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• v.10 no.3 s.32
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• pp.13-19
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• 2006

As a way of improving the safety of the facilities, the risk based-inspection (RBI) was executed for the chemical facilities by using K-RBI program, which has been developed based on the API-581 based resource document (BRD). As the result of the evaluation, we found the level of the process safety management (PSM) for the applied plant, quantitative risk of the applied process, risk of static facilities and pipes, and the damage mechanism of the facilities. Thus, we could suggest a proper inspection frequency using the calculated risk of the process and the status of the facilities. The applied plant achieved a reduced inspection cost by an extension of the inspection frequency, improved productivity, improved reliability of the facilities, and a computerized history management.

• Journal of the KSME
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• v.48 no.6
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• pp.52-56
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• 2008

• 한국가스학회:학술대회논문집
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• 2001.10a
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• pp.161-166
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• 2001

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2006.05a
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• pp.140-145
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• 2006

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.10
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• pp.1291-1296
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• 2013

Risk-based inspection (RBI) is a well-known method that is used to optimize inspection activities based on risk analysis in order to identify the high-risk components of major facilities such as power plants. RBI, when implemented and maintained properly, improves plant reliability and safety while reducing unplanned outages and repair costs. Risk is given by the product of the probability of failure (POF) and the consequence of failure (COF). A semi-quantitative method is generally used for risk assessment. Semi-quantitative risk assessment complements the low accuracy of qualitative risk assessment and the high expense and long calculation time of quantitative risk assessment. The first step of RBI is to identify important failure modes and causes in the equipment. Once these are defined, the POF and COF can be assessed for each failure. During POF and COF assessment, an effective inspection method and range can be easily found. In this paper, the calculation of the POF is improved for accurate risk assessment. A modified semi-quantitative risk assessment was carried out for boiler facilities of thermal power plants, and the next maintenance schedules for the equipment were decided.

• Journal of the Korean Institute of Gas
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• v.15 no.2
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• pp.69-74
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• 2011

As a way to propose a method for the establishment of practical damage-minimizing plan for chemical plants, the release scenario was established by using API-581 BRD and the effect zone was estimated by the KS-RBI program supporting the quantitative cause analysis. And the risk assessment was performed. As a result, we found that to minimize the damage of a chemical plant, it is effective to use four release hole diameters (small, medium, large and rupture) and release time estimated according to the classes of detection and isolation systems. In addition, it can be safely said that through appling the damage areas considering weighted average by failure frequency and worst-case simultaneously, industrial sites can come up with the effective emergency response plan.

• Journal of the Korean Institute of Gas
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• v.14 no.4
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• pp.37-44
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• 2010

To propose a cause analysis method of pressurized facilities, a likelihood of failure (LOF) for the thinning module by hydrochloric acid corrosion was analyzed through the risk-based inspection (RBI) using API-581 BRD. For this investigation, the technical module subfactor (TMSF), as a main factor of the LOF, was estimated, and the effects of parameters on the TMSF were analyzed quantitatively. As a result, we found that the TMSF increased with increasing chloride ion concentration and temperature, but it decreased with increasing thickness of the facilities, inspection number and inspection effectiveness. Also, the TMSF showed a relatively low value for the monitoring system implemented and the overdesign factor>1.5. In this condition, the TMSF changed sensitively with the inspection number, the inspection effectiveness and the overdesign factor, and its magnitude varied with the monitoring system.

• 한국가스학회:학술대회논문집
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• 2007.04a
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• pp.170-173
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• 2007