Improved Convolutional Neural Network Quantification of Mixed Fault Characterization Gases in Transformers Based on Raman Spectroscopy

CHEN Xin-gang; ZHANG Wen-xuan; MA Zhi-peng; ZHANG Zhi-xian; WAN Fu; AO Yi; ZENG Hui-min

doi:10.3964/j.issn.1000-0593(2025)04-0932-09

Spectroscopy and Spectral Analysis, Volume. 45, Issue 4, 932(2025)

Improved Convolutional Neural Network Quantification of Mixed Fault Characterization Gases in Transformers Based on Raman Spectroscopy

CHEN Xin-gang^1,2, ZHANG Wen-xuan¹, MA Zhi-peng^1、*, ZHANG Zhi-xian¹, WAN Fu³, AO Yi¹, and ZENG Hui-min¹

Author Affiliations

¹School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing400054, China

²Chongqing Energy Internet Engineering Technology Research Center, Chongqing400054, China

³State Key Laboratory of Power Transmission Equipment & System Security and New Technology, (Chongqing University), Chongqing400044, China

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References(8)

[1] [1] Yang D K, Chen W G, Wan F, et al. IEEE Transactions on Dielectrics and Electrical Insulation, 2020, 27(6): 1770.

[6] [6] Wan Fu, Wang Rui, Ge Hu, et al. Optics Express, 2024, 32(7): 12428.

[7] [7] Molavi H, Yousefpour A, Mirmostafa A, et al. Chromatographia, 2017, 80(7): 1129.

[8] [8] Tang S, Chen W, Jin L, et al. Sensors & Actuators: B. Chemical, 2020, 312: 127998.

[9] [9] Zhou Q, Xu L, Umar A, et al. Sensors & Actuators: B. Chemical, 2018, 256: 656.

[14] [14] Yang D K, Chen W G, Zhou W R, et al. IEEE Access, 2019, 7: 127862.

[17] [17] Ge Hu, Kong Weipin, Wang Rui, et al. Optics Letters, 2023, 48(8): 2186.

[20] [20] Li Dongdong, Zhao Yang, Zhao Yao. Protection and Control of Modern Power Systems, 2022, 7: 22.

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CHEN Xin-gang, ZHANG Wen-xuan, MA Zhi-peng, ZHANG Zhi-xian, WAN Fu, AO Yi, ZENG Hui-min. Improved Convolutional Neural Network Quantification of Mixed Fault Characterization Gases in Transformers Based on Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2025, 45(4): 932

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Paper Information

Received: Jan. 20, 2024

Accepted: Apr. 24, 2025

Published Online: Apr. 24, 2025

The Author Email: MA Zhi-peng (mazhipeng@cqut.edu.cn)

DOI:10.3964/j.issn.1000-0593(2025)04-0932-09

Topics

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