APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase voltage and current, to identify single-phasing faults or unbalanced stator resi...
Guardado en:
Autores principales: | Schmitt,Erick, Idowu,Peter, Morales,Aldo |
---|---|
Lenguaje: | English |
Publicado: |
Universidad de Tarapacá.
2010
|
Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052010000200002 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
por: Pietrzak Przemysław, et al.
Publicado: (2021) -
An Effective Evaluation on Fault Detection in Solar Panels
por: Joshuva Arockia Dhanraj, et al.
Publicado: (2021) -
Methods of Condition Monitoring and Fault Detection for Electrical Machines
por: Karolina Kudelina, et al.
Publicado: (2021) -
Wavelet and Fourier analysis of ventricular and main arteries pulsations in anesthetized dogs
por: JIMÉNEZ,RAÚL F, et al.
Publicado: (2004) -
A local binary patterns/variance operator based on guided filtering for seismic fault detection
por: Renfei Tian, et al.
Publicado: (2021)