Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

J. Rosero; A. Garcia; J. Cusido; L. Romeral; J. A. Ortega

doi:10.1109/WISP.2007.4447631

Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

J. Rosero^*
, A. Garcia
, J. Cusido
, L. Romeral
, J. A. Ortega

^*Autor correspondiente de este trabajo

Polytechnic University of Catalonia

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

19 Citas (Scopus)

Resumen

This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has been carried out by means of two dimensional (2-D) finite element analysis (FEA), and simulations results were compared with experimental results. The demagnetization fault is analyzed by means of decomposition of stator currents obtained at different speeds. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.

Idioma original	Inglés
Título de la publicación alojada	2007 IEEE International Symposium on Intelligent Signal Processing, WISP
DOI	https://doi.org/10.1109/WISP.2007.4447631
Estado	Publicada - 2007
Publicado de forma externa	Sí
Evento	2007 IEEE International Symposium on Intelligent Signal Processing, WISP - Alcala de Henares, Espana Duración: 3 oct 2007 → 5 oct 2007

Serie de la publicación

Nombre	2007 IEEE International Symposium on Intelligent Signal Processing, WISP

Conferencia

Conferencia	2007 IEEE International Symposium on Intelligent Signal Processing, WISP
País/Territorio	Espana
Ciudad	Alcala de Henares
Período	3/10/07 → 5/10/07

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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10.1109/WISP.2007.4447631

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Rosero, J., Garcia, A., Cusido, J., Romeral, L., & Ortega, J. A. (2007). Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization. En 2007 IEEE International Symposium on Intelligent Signal Processing, WISP Artículo 4447631 (2007 IEEE International Symposium on Intelligent Signal Processing, WISP). https://doi.org/10.1109/WISP.2007.4447631

@inproceedings{041809828f2844c095c8e5ea4a1818ef,

title = "Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization",

abstract = "This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has been carried out by means of two dimensional (2-D) finite element analysis (FEA), and simulations results were compared with experimental results. The demagnetization fault is analyzed by means of decomposition of stator currents obtained at different speeds. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.",

keywords = "Current, Demagnetization, Drive, Empirical mode decomposition, FEA, Fault, Hilbert Huang transform, PMSM, Simulation",

author = "J. Rosero and A. Garcia and J. Cusido and L. Romeral and Ortega, \{J. A.\}",

year = "2007",

doi = "10.1109/WISP.2007.4447631",

language = "English",

isbn = "142440830X",

series = "2007 IEEE International Symposium on Intelligent Signal Processing, WISP",

booktitle = "2007 IEEE International Symposium on Intelligent Signal Processing, WISP",

note = "2007 IEEE International Symposium on Intelligent Signal Processing, WISP ; Conference date: 03-10-2007 Through 05-10-2007",

}

Rosero, J, Garcia, A, Cusido, J, Romeral, L & Ortega, JA 2007, Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization. En 2007 IEEE International Symposium on Intelligent Signal Processing, WISP., 4447631, 2007 IEEE International Symposium on Intelligent Signal Processing, WISP, 2007 IEEE International Symposium on Intelligent Signal Processing, WISP, Alcala de Henares, Espana, 3/10/07. https://doi.org/10.1109/WISP.2007.4447631

Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization. / Rosero, J.; Garcia, A.; Cusido, J. et al.
2007 IEEE International Symposium on Intelligent Signal Processing, WISP. 2007. 4447631 (2007 IEEE International Symposium on Intelligent Signal Processing, WISP).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

AU - Rosero, J.

AU - Garcia, A.

AU - Cusido, J.

AU - Romeral, L.

AU - Ortega, J. A.

PY - 2007

Y1 - 2007

N2 - This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has been carried out by means of two dimensional (2-D) finite element analysis (FEA), and simulations results were compared with experimental results. The demagnetization fault is analyzed by means of decomposition of stator currents obtained at different speeds. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.

AB - This paper presents a study of the permanent magnet synchronous motor (PMSM) running under demagnetization. The simulation has been carried out by means of two dimensional (2-D) finite element analysis (FEA), and simulations results were compared with experimental results. The demagnetization fault is analyzed by means of decomposition of stator currents obtained at different speeds. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.

KW - Current

KW - Demagnetization

KW - Drive

KW - Empirical mode decomposition

KW - FEA

KW - Fault

KW - Hilbert Huang transform

KW - PMSM

KW - Simulation

UR - https://www.scopus.com/pages/publications/49249114687

U2 - 10.1109/WISP.2007.4447631

DO - 10.1109/WISP.2007.4447631

M3 - Conference contribution

AN - SCOPUS:49249114687

SN - 142440830X

SN - 9781424408306

T3 - 2007 IEEE International Symposium on Intelligent Signal Processing, WISP

BT - 2007 IEEE International Symposium on Intelligent Signal Processing, WISP

T2 - 2007 IEEE International Symposium on Intelligent Signal Processing, WISP

Y2 - 3 October 2007 through 5 October 2007

ER -

Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

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