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Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines

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Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines

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Georgoulas, G.; Mustafa, M.; Tsoumas, I.; Antonino Daviu, JA.; Climente Alarcón, V.; Stylios, C.; Nikolakopoulos, G. (2013). Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines. Expert Systems with Applications. 40(17):7024-7033. doi:10.1016/j.eswa.2013.06.006

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52546

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Title: Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines
Author:
UPV Unit: Universitat Politècnica de València. Instituto de Ingeniería Energética - Institut d'Enginyeria Energètica
Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
This article presents a novel computational method for the diagnosis of broken rotor bars in three phase asynchronous machines. The proposed method is based on Principal Component Analysis (PCA) and is applied to the stator ...[+]
Subjects: Broken rotor bar fault diagnosis , Principal Component Analysis , Hidden Markov Modeling
Copyrigths: Cerrado
Source:
Expert Systems with Applications. (issn: 0957-4174 )
DOI: 10.1016/j.eswa.2013.06.006
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.eswa.2013.06.006
Type: Artículo

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