Quantification of Aging State of Insulating Oils Using FTIR Spectra and Deep Learning-Reference-Cited by-同舟云学术

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Quantification of Aging State of Insulating Oils Using FTIR Spectra and Deep Learning

Published:2024-08 Issue:4 Volume:31 Page:1936-1943
ISSN:1070-9878
Container-title:IEEE Transactions on Dielectrics and Electrical Insulation
language:
Short-container-title:IEEE Trans. Dielect. Electr. Insul.

Author:

Das Suchandan¹^ORCID,Paramane Ashish¹^ORCID,Chatterjee Soumya²^ORCID,Maharana Mrutyunjay³

Affiliation:

1. Electrical Engineering Department, National Institute of Technology, Silchar, Assam, India

2. Electrical Engineering Department, National Institute of Technology, Durgapur, West Bengal, India

3. School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/94/10623348/10444630.pdf?arnumber=10444630

Reference22 articles.

1. Comparison of dielectric properties of olive oil, mineral oil, and other natural and synthetic ester liquids under AC and lightning impulse stresses

2. Enhancing Dielectric and Thermal Performances of Synthetic-Ester Insulating Oil via Blending With Natural Ester

3. Investigations on streamers phenomena in mineral, synthetic and natural ester oils under lightning impulse voltage

4. An Updated Model to Determine the Life Remaining of Transformer Insulation

5. A new technique to measure interfacial tension of transformer oil using UV-Vis spectroscopy

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