Study on the Aging Behavior of Transformer Oil Based on Machine Learning and Infrared Spectroscopy Technology

XIAO Zhong-liang; YUAN Rong-yao; FU Zhuang; LIU Cheng; YIN Bi-lu; XIAO Min-zhi; ZHAO Ting-ting; KUANG Yin-jie; SONG Liu-bin

doi:10.3964/j.issn.1000-0593(2025)02-0434-09

Spectroscopy and Spectral Analysis, Volume. 45, Issue 2, 434(2025)

Study on the Aging Behavior of Transformer Oil Based on Machine Learning and Infrared Spectroscopy Technology

XIAO Zhong-liang, YUAN Rong-yao, FU Zhuang, LIU Cheng, YIN Bi-lu, XIAO Min-zhi, ZHAO Ting-ting, KUANG Yin-jie, and SONG Liu-bin^*

Author Affiliations

College of Chemistry and Chemical Engineering, Changsha University of Science and Technology, Changsha 410114, China

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XIAO Zhong-liang, YUAN Rong-yao, FU Zhuang, LIU Cheng, YIN Bi-lu, XIAO Min-zhi, ZHAO Ting-ting, KUANG Yin-jie, SONG Liu-bin. Study on the Aging Behavior of Transformer Oil Based on Machine Learning and Infrared Spectroscopy Technology[J]. Spectroscopy and Spectral Analysis, 2025, 45(2): 434

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Paper Information

Received: Jan. 14, 2024

Accepted: May. 21, 2025

Published Online: May. 21, 2025

The Author Email: SONG Liu-bin (liubinsong1981@126.com)

DOI:10.3964/j.issn.1000-0593(2025)02-0434-09

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology