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Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors

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Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors

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Antonino-Daviu, J.; Aviyente, S.; Strangas, EG.; Riera-Guasp, M. (2013). Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors. IEEE Transactions on Industrial Informatics. 9(1):100-108. doi:10.1109/TII.2012.2198659

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/93476

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Title: Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] The development of portable devices that make the reliable diagnosis of faults in electric motors possible has become a challenge for many researchers and maintenance enterprises. These machines intervene in a huge ...[+]
Subjects: AC machine , Condition monitoring , Correlation , Discrete wavelet transforms , Fault diagnosis , Feature extraction , Induction motor , Motor spectrum analysis , Pattern recognition , Transient analysis
Copyrigths: Cerrado
Source:
IEEE Transactions on Industrial Informatics. (issn: 1551-3203 )
DOI: 10.1109/TII.2012.2198659
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TII.2012.2198659
Thanks:
This work was supported in part by the Ministerio de Educacion, Modalidad B del subprograma de estancias de movilidad de profesores e investigadores espanoles en centros extranjeros, Estancias de movilidad en el extranjero ...[+]
Type: Artículo

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