Rotor fault diagnosis of frequency inverter fed or line-connected induction motors using mutual information-Reference-Cited by-同舟云学术

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Rotor fault diagnosis of frequency inverter fed or line-connected induction motors using mutual information

Published:2020-07-31 Issue:2 Volume:25 Page:1309-1324
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Bazan Gustavo Henrique^ORCID,Goedtel Alessandro,Scalassara Paulo Rogério,Endo Wagner

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Araucária

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-020-05224-9.pdf

Reference59 articles.

1. Abd-el-Malek M, Abdelsalam AK, Hassan OE (2017) Induction motor broken rotor bar fault location detection through envelope analysis of start-up current using Hilbert transform. Mech Syst Signal Process 93:332–350

2. Alonso J, Mananas M, Hoyer D, Topor Z, Bruce E (2007) Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. IEEE Trans Biomed Eng 54(9):1573–1582

3. Appana DK, Prosvirin A, Kim JM (2018) Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks. Soft Comput 22(20):6719–6729

4. Bandyopadhyay S, Saha S (2013) Unsupervised classification: similarity measures, classical and metaheuristic approaches, and applications. Springer, New York

5. Bessam B, Menacer A, Boumehraz M, Cherif H (2016) Detection of broken rotor bar faults in induction motor at low load using neural network. ISA Trans 64:241–246

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