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Diagnosis of electric induction machines in non-stationary regimes working in randomly changing conditions

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Diagnosis of electric induction machines in non-stationary regimes working in randomly changing conditions

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Vedreño Santos, FJ. (2013). Diagnosis of electric induction machines in non-stationary regimes working in randomly changing conditions [Tesis doctoral no publicada]. Universitat Politècnica de València. doi:10.4995/Thesis/10251/34177.

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Title: Diagnosis of electric induction machines in non-stationary regimes working in randomly changing conditions
Author:
Director(s): Pineda Sánchez, Manuel Riera Guasp, Martín Víctor
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Read date / Event date:
2013-11-15
Issued date:
Abstract:
Tradicionalmente, la detección de faltas en máquinas eléctricas se basa en el uso de la Transformada Rápida de Fourier ya que la mayoría de las faltas pueden ser diagnosticadas con ella con seguridad si las máquinas operan ...[+]
Subjects: Diagnosis , Electrical Machines , Electric Machines , Transient State , Non-Stationary regime , Transient regime , Hilbert Transform , Spectral Filter , FFT , Instantaneous Frequency , Frequency Sliding , Stochastic regime , Filtering techniques , Discrete Wavelet Transform , Wavelet Packet Transform , Squirrel Cage Induction Machines , Wound Rotor Induction Machines , Broken Bars , Rotor Asymmetry , Mixed Eccentricity , Stator Asymmetry , Digital Signal Analysis , Teager-Kaiser Operator , DFT , Randomly Changing conditions , Induction Machines , Correlation coefficient , Signal Analysis
Copyrigths: Reserva de todos los derechos
DOI: 10.4995/Thesis/10251/34177
Type: Tesis doctoral

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