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RISS 인기검색어
- 검색키워드
- 저자 : 이웅근(Woonggeun Lee) (검색결과 2 건)
- 무료
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박희도(Heedo Park),이웅근(Woonggeun Lee),장중순(Joong Soon Jang),박상철(Sang Chul Park) (사)한국CDE학회 2020 한국CDE학회 논문집 Vol.25 No.2
This paper proposes a new reliability prediction process which consists of four steps; 1) field data utilization step, 2) similar product data utilization step, 3) degradation test data utilization step, and 4) reliability prediction handbook utilization step. While, conventional reliability prediction process only describes a rough sequence of activities, the proposed process specifies the data priorities to improve the reliability prediction accuracy. For the effective support of the proposed reliability prediction process, we develop a software architecture and implement the software system. The software system consists of four major modules (function module, mapping module, calculation module, and report module), and applied to the reliability prediction of a DC-DC converter for demonstration.
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김동욱(Donguk Kim),이웅근(Woonggeun Lee),박상철(Sangchul Park) (사)한국CDE학회 2020 한국CDE학회 논문집 Vol.25 No.1
Presented in the paper is the framework of an intelligent boiler management system in thermal power generation industry which accounts for more than 60% of the domestic power generation. The power plant boiler is very large in size and very expensive in cost. Even a small damage to the boiler may cause a big disruption to the whole operation of the power plant which may lead to significant economic losses as well as to casualties. Because of this reason, the prognostics and health management of a power plant boiler is very important. For the intelligent management of a boiler, we propose the framework of a software system supporting the health management of a power plant boiler. The propose framework uses a CAD drawing for the intuitive user interface, and supports ten different diagnostic methods. The framework has been implemented and applied to various examples.
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