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基于富里埃变换红外光谱学结合SCARS-DNNN的多组分SF6分解产品的定量检测

Guangwen Shi1, Jie Gao1, Xinyu Zhang1

  • 1School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|February 8, 2024
PubMed
概括

使用富里埃变换红外光谱 (FTIR) 和SCARS深度神经网络 (SCARS-DNN) 的新方法,可以快速,非破坏性地检测气体绝缘开关设备 (GIS) 中的硫六化物 (SF) 分解产物. 这种方法显著提高了评估绝缘状况的准确性.

关键词:
深度神经网络是一个神经网络.里埃变换红外光谱法 红外光谱法定量分析是一种量化分析.SF(6) 的分解产品.

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