Degree of Polymerization Evaluation of power transformer with Near infrared spectroscopy using Back Propagation Neural Networks-Reference-Cited by-同舟云学术

Degree of Polymerization Evaluation of power transformer with Near infrared spectroscopy using Back Propagation Neural Networks

Published:2021-12-08 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Power System Technology (POWERCON)
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Author:

Fu Xiaotao¹,Chen Xiaolin¹,Li Yuan²,Chen Lincong¹,Li Xinran¹,Zhang Ruien¹

Affiliation:

1. Key Laboratory of Physical and Chemical Analysis for Electric Power of Hainan Electric Power Research Institute of Hainan Power Grid Co. Ltd,Haikou,PR China,570125

2. Xi'an Jiaotong University,State Key Laboratory of Electrical Insulation and Power Equipment,Xi'an,PR China,710049

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9697403/9697404/09697567.pdf?arnumber=9697567

Reference7 articles.

1. New Composite Paper: Determination of Degree of Polymerization (DP) and End-of-Life Criteria

2. An approach on lifetime estimation of distribution transformers based on degree of polymerization

3. Portable NIR Spectroscopy Measuring Device for Transformer Oil DBPC Inhibitor Analysis

4. Degree of Polymerization Evaluation of Field Bushing with Near-Infrared Spectroscopy using Radial Basis Function Neural Network

5. Determining the quality of insulating oils using near infrared spectroscopy and wavelength selection

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