Research on transformer fault diagnosis method and calculation model by using fuzzy data fusion in multi-sensor detection system-Reference-Cited by-同舟云学术

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Research on transformer fault diagnosis method and calculation model by using fuzzy data fusion in multi-sensor detection system

Published:2019-01 Issue: Volume:176 Page:716-723
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Xuewei Zhang^ORCID,Hanshan Li

Funder

Project of the National Natural Science Foundation of China

Key Programs of Shaanxi science and Technology Department

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference18 articles.

1. Study on synthetic diagnosis method of transformer fault using multi-neural network and evidence theory;Jin;Proc. CSEE,2006

2. Association rule analysis on confidence of features for transformer faults;Zheng;High Voltage Eng.,2012

3. D-S evidence reasoning and its data fusion application in target recognition;Lan;J. Tsinghua Univ. (Sci. Technol.),2001

4. The application of partial discharge charge test in transformer in power grid;Zhang;High Voltage Eng.,2007

5. Multi-sensor data fusion algorithm for high accuracy arc fault detection;Xu;J. Shang Hai Univ. (Nat. Sci.),2014

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3. Comparative Analysis of Transformer Fault Classification Based on DGA Data Using Machine Learning Algorithms;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

4. Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion;International Journal of Electrical Power & Energy Systems;2023-07

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