New Algorithm Applied to Transformers' Failures Detection Based on Karhunen–Loève Transform-Reference-Cited by-同舟云学术

New Algorithm Applied to Transformers' Failures Detection Based on Karhunen–Loève Transform

Published:2023-11 Issue:11 Volume:19 Page:10883-10891
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

de Castro Bruno Albuquerque¹^ORCID,Binotto Amanda¹,Ardila-Rey Jorge Alfredo²^ORCID,Fraga José Renato Castro Pompéia¹^ORCID,Smith Colin³,Andreoli André Luiz¹^ORCID

Affiliation:

1. Department of Electrical Engineering, São Paulo State University, Bauru, Brazil

2. Department of Electrical Engineering, Universidad Tecnica Federico Santa Maria, Santiago de Chile, Chile

3. R&D, IPEC Ltd, Manchester, U.K.

Funder

São Paulo Research Foundation - FAPESP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10255543/10036098.pdf?arnumber=10036098

Reference28 articles.

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2. Practical partial discharge pulse generation and location within transformer windings using regression models adjusted with simulated signals

3. Methods for wavelet-based autonomous discrimination of multiple partial discharge sources

4. A Novel Application of Deep Belief Networks in Learning Partial Discharge Patterns for Classifying Corona, Surface, and Internal Discharges

5. Robust Classification of Partial Discharges in Transformer Insulation Based on Acoustic Emissions Detected Using Fiber Bragg Gratings

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