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使用改进的残留网络和转移学习,基于SERS在变压器油中的furfural的定量检测

Xia Jie1

  • 1School of Electrical Engineering, Xinjiang University, Urumqi,830046, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|January 24, 2026
PubMed
概括

本研究引入了一种先进的AI框架,用于准确测量变压器油中的furfural,改进变压器健康评估. 该方法使用深度学习和转移学习来克服复杂的石油矩阵挑战.

关键词:
深度卷积的生成对抗网络.改进了剩余网络的改进.溶于油中的furfural.定量检测检测量检测量检测量检测量检测量检测量在表面增强的拉曼散射中.转移学习转移学习

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