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Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines

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Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines

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Georgoulas, G.; Tsoumas, IP.; Antonino-Daviu, J.; Climente Alarcon, V.; Stylios, CD.; Mitronikas, ED.; Safacas, AN. (2014). Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines. IEEE Transactions on Industrial Electronics. 61(9):4937-4946. doi:10.1109/TIE.2013.2284143

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/100812

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Title: Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] This paper presents an advanced signal processing method applied to the diagnosis of rotor asymmetries in asynchronous machines. The approach is based on the application of complex empirical mode decomposition to the ...[+]
Subjects: Asynchronous rotating machines , Broken rotor bar detection , Complex empirical mode decomposition (EMD) , Hidden Markov models (HMMs) , Pattern recognition
Copyrigths: Cerrado
Source:
IEEE Transactions on Industrial Electronics. (issn: 0278-0046 )
DOI: 10.1109/TIE.2013.2284143
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: http://doi.org/10.1109/TIE.2013.2284143
Thanks:
This work was supported in part by the Conselleria d'Educacio, Formacio i Ocupacio of the Generalitat Valenciana, in the framework of the "Ayudas para la Realizacion de Proyectos de I+D para Grupos de Investigacion ...[+]
Type: Artículo

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