Deep Learning Aided Classification of Ageing Condition of Natural Ester Oils Using FTIR Analysis-Reference-Cited by-同舟云学术

Deep Learning Aided Classification of Ageing Condition of Natural Ester Oils Using FTIR Analysis

Published:2023-08-09 Issue: Volume: Page:
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Container-title:2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET)
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Author:

Das Suchandan¹,Paramane Ashish¹,Kumari Shweta²,Chatterjee Soumya²

Affiliation:

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244770/10244772/10246005.pdf?arnumber=10246005

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2. Identification of the Aging Stage of Transformer Oil-Paper Insulation via Raman Spectroscopic Characteristics

3. Moisture Diagnosis of Transformer Oil-Immersed Insulation With Intelligent Technique and Frequency-Domain Spectroscopy

4. A novel approach to investigate the deterioration of insulation of oils in power transformers with terahertz time-domain spectroscopy

5. ResNet-50 vs VGG-19 vs training from scratch: A comparative analysis of the segmentation and classification of Pneumonia from chest X-ray images

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