Automatic Classification of Field Winding Faults in Synchronous Motors Based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals-Reference-Cited by-同舟云学术

Automatic Classification of Field Winding Faults in Synchronous Motors Based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals

Published:2023-07 Issue:4 Volume:59 Page:3945-3954
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Martínez Miguel Enrique Iglesias¹^ORCID,Carmenate Jose Guerra²,Antonino-Daviu Jose³^ORCID,Dunai Larisa⁴^ORCID,Platero Carlos A.⁵^ORCID,Conejero J. Alberto⁶^ORCID,de Córdoba Pedro Fernández⁷^ORCID

Affiliation:

1. InterTech Interdisciplinary Modeling Group from the Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Valencia, Spain

2. Departamento de Telecomunicaciones, Universidad de Pinar del Río Hermanos Saíz Montes de Oca, Pinar del Río, Cuba

3. Instituto Tecnológico de la Energía, Universitat Politècnica de València, Valencia, Spain

4. Centro de Investigación en Tecnologías Gráficas Universitat Politècnica deValència, Valencia, Spain

5. Universidad Politécnica de Madrid, Madrid, Spain

6. Instituto Universitario de Matemática Pura y Aplicada (IUMPA), Universitat Politecnica de Valencia, Valencia, Spain

7. Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Valencia, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/10185984/10081463.pdf?arnumber=10081463

Reference20 articles.

1. Electrical Testing for Detection and Classification of Open Damper Bar and Shorted Field Winding Failures in Wound Field Synchronous Motors

2. Performance Comparison of Superconducting Machines With Induction Motors

3. Bicoherence and Skewness-Kurtosis Analysis for the Detection of Field Winding Faults in Synchronous Motors using stray flux signals

4. Multi-Parametric Monitoring of Medium-Power Generators with Brushless Exciters under Mechanical Faults

5. A Review on Image Segmentation

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1. Bispectral Wavelet Time-Frequency Analysis for The Detection of Field Winding Faults in Synchronous Motors;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18

2. Detection of Rotor Bar Fault through Stray Flux Based Analytical Signal Angular Fluctuation Method;2023 IEEE International Electric Machines & Drives Conference (IEMDC);2023-05-15