Bicoherence and Skewness-Kurtosis Analysis for the Detection of Field Winding Faults in Synchronous Motors using stray flux signals-Reference-Cited by-同舟云学术

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

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Energy Conversion Congress and Exposition (ECCE)
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Author:

Carmenate Jose Guerra¹,Iglesias Martinez Miguel E.²,Antonino-Daviu Jose A.³,Platero Carlos⁴,de Cordoba Pedro Fernandez⁵,Conejero Alberto⁵,Dunai Larisa⁶

Affiliation:

1. Universidad de Pinar del Río,Departamento de Telecomunicaciones,Pinar del Río,Cuba

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

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

4. Universidad Politécnica de Madrid, Calle de José Gutierrez Abascal n°2,Madrid,Spain,28006

5. Instituto Universitario de Matematica Pura y Aplicada, Universitat Politecnica de Valencia,Valencia,Spain

6. Centro de Investigación en Tecnologías, Gráficas Universitat Politècnica de València,Valencia,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9947299/9947300/09947368.pdf?arnumber=9947368

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching;IEEE/CAA Journal of Automatica Sinica;2024-06

2. Automatic Classification of Field Winding Faults in Synchronous Motors Based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals;IEEE Transactions on Industry Applications;2023-07