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Pursuing optimal electric machines transient diagnosis: The adaptive slope transform

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Pursuing optimal electric machines transient diagnosis: The adaptive slope transform

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Pons Llinares, J.; Riera-Guasp, M.; Antonino-Daviu, JA.; Habetler, T. (2016). Pursuing optimal electric machines transient diagnosis: The adaptive slope transform. Mechanical Systems and Signal Processing. 80:553-569. doi:10.1016/j.ymssp.2016.05.003

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/106298

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Title: Pursuing optimal electric machines transient diagnosis: The adaptive slope transform
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] The aim of this paper is to introduce a new linear time-frequency transform to improve the detection of fault components in electric machines transient currents. Linear transforms are analysed from the perspective of ...[+]
Subjects: Time-frequency analysis , Transient analysis , Wavelet transforms , Signal analysis , Fault diagnosis , Rotor broken bar , Induction motors , Monitoring
Copyrigths: Cerrado
Source:
Mechanical Systems and Signal Processing. (issn: 0888-3270 )
DOI: 10.1016/j.ymssp.2016.05.003
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.ymssp.2016.05.003
Thanks:
This work was supported by the Spanish "Ministerio de Economia y Competitividad" in the framework of the "Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad" (Project reference ...[+]
Type: Artículo

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