Transformer Oil Acid Value Prediction Method Based on Infrared Spectroscopy and Deep Neural Network

Transformer Oil Acid Value Prediction Method Based on Infrared Spectroscopy and Deep Neural Network

The traditional detection method of transformer oil acid value has limitations, such as long detection period and toxicity of reagents; while, with the traditional spectral analysis, it is difficult to realize the efficient extraction of key features related to the acid value content. Early detectio...

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Bibliographic Details
Main Authors: Linjie Fang, Chuanshuai Zong, Zhenguo Pang, Ye Tian, Xuezeng Huang, Yining Zhang, Xiaolong Wang, Shiji Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
transformer oil
infrared spectroscopy technique
wavelet packet decomposition
bootstrapping soft shrinkage
deep neural network
Online Access:https://www.mdpi.com/1996-1073/18/13/3345
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