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基于GS-1DCNN的变电站人因误操作的量化研究
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为了准确识别出变电站的人因误操作场景,提出了一种基于高斯一维卷积神经网络(GS-1DCNN)的人因误操作定量评估模型.该模型基于认知可靠性和差错分析方法,以变电站操作场景的9类通用效能条件为模型输入特征,并引入高斯拟合算法用以改进1 DCNN模型的评估性能,准确性决定系数可达93.3%.通过实验证明该方法能够正确量化识别出操作场景的控制模式,为真正实现变电站全防误提供依据.
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2022,信息技术
Translated Title
Quantitative study of human maloperation in substation based on gaussian one-dimensional convolu-tional neural networks
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WF:perioarticalxxjs202207011
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Chinese
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Source :
信息技术
ISSN: 1009-2552
Year: 2022
Issue: 7
Page: 51-58
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ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: -1
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30 Days PV: 1
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