System for Early Detection of Insulation Failures of Electric Machinery-Reference-Cited by-同舟云学术

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System for Early Detection of Insulation Failures of Electric Machinery

Published:2022 Issue: Volume: Page:185-195
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
Short-container-title:

Author:

Gama Bruno Renó,Sant’Ana Wilson Cesar,da Silva Luiz Eduardo Borges,Bonaldi Erik Leandro,Lambert-Torres Germano,Salomon Camila Paes,dos Santos Areias Isac Antonio,de Almeida Arantes Daniel,Boas Fernanda Mitchelly Vilas,Steiner Fabio Monteiro,Carvalho Rafael Bartholomeu Bernardo

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96794-9_17

Reference26 articles.

1. Sumereder C (2008) Statistical lifetime of hydro generators and failure analysis. IEEE Trans Dielectr Electr Insul 15:678–685

2. Brütsch R, Tari M, Fröhlich K, Weiers T, Vogelsang R (2008) Insulation failure mechanisms of power generators [feature article]. IEEE Electr Insul Mag 24:17–25

3. Neti P, Younsi K, Shah MR (2013) A novel high sensitivity differential current transformer for online health monitoring of industrial motor ground-wall insulation. IEEE Energy Convers Congr Expos 2013:2493–2499

4. Jensen WR, Foster SN (2019) Remaining useful life estimation of stator insulation using particle filter. IEEE Energy Convers Congr Expos (ECCE) 2019:7004–7011

5. Drif M, Cardoso AJM (2014) Stator fault diagnostics in squirrel cage three-phase induction motor drives using the instantaneous active and reactive power signature analyses. IEEE Trans Industr Inf 10:1348–1360

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