• Title/Summary/Keyword: 신뢰도, 신뢰성

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Seismic Reliability Assessment of the Korean 345 kV Electric Power Network considering Parallel Operation of Transformers (변압기의 병렬 운전을 고려한 국내 345kV 초고압 전력망의 지진 재해 신뢰성 평가)

  • Park, Won-Suk;Park, Young-Jun;Cho, Ho-Hyun;Koh, Hyun-Moo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.10 no.3 s.49
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    • pp.13-20
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    • 2006

  • Substations in electric power transmission network systems (EPTS) operate using several transformers in parallel to increase the efficiency in terms of stability of energy supply. We present a seismic reliability assessment method of EPTS considering the parallel operation of transformers. Two methods for damage state model are compared in this paper: bi-state and multi-damage model. Simulation results showed that both models yielded similar network reliability indices and the reliability indices of the demand nodes using hi-state model exhibited higher damage probability. Particularly, the corresponding EENS (Expected Energy Not Supplied) index was significantly larger than that of the multi-damage state.

  • https://doi.org/10.5000/EESK.2006.10.3.013 인용 PDF KSCI

Comparison of confidence measures useful for classification model building (분류 모형 구축에 유용한 신뢰도 측도 간의 비교)

  • Park, Hee Chang
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.2
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    • pp.365-371
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    • 2014

  • Association rule of the well-studied techniques in data mining is the exploratory data analysis for understanding the relevance among the items in a huge database. This method has been used to find the relationship between each set of items based on the interestingness measures such as support, confidence, lift, similarity measures, etc. By typical association rule technique, we generate association rule that satisfy minimum support and confidence values. Support and confidence are the most frequently used, but they have the drawback that they can not determine the direction of the association because they have always positive values. In this paper, we compared support, basic confidence, and three kinds of confidence measures useful for classification model building to overcome this problem. The result confirmed that the causal confirmed confidence was the best confidence in view of the association mining because it showed more precisely the direction of association.

  • https://doi.org/10.7465/jkdi.2014.25.2.365 인용 PDF KSCI