Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current

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

doi:10.1109/APEC.2008.4522708

Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current

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

^*Autor correspondiente de este trabajo

Polytechnic University of Catalonia

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

45 Citas (Scopus)

Resumen

This paper presents the study of permanent magnet synchronous machines (PMSM) running with eccentricity and bearings damage. The objective is to detect and identify the fault through the current signature analysis. The stator current has been analyzed by means of both Fourier (FFT) and Discrete Wavelet (DWT) transforms. Simulations have been carried out with a two-dimensional (2-D) finite element analysis (FEA), and they have been also compared with experiments. The results prove that the method proposed can be used to identify mechanical faults in a PMSM.

Idioma original	Inglés
Título de la publicación alojada	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC
Páginas	111-116
Número de páginas	6
DOI	https://doi.org/10.1109/APEC.2008.4522708
Estado	Publicada - 2008
Publicado de forma externa	Sí
Evento	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC - Austin, TX, Estados Unidos Duración: 24 feb 2008 → 28 feb 2008

Serie de la publicación

Nombre	Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Conferencia

Conferencia	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC
País/Territorio	Estados Unidos
Ciudad	Austin, TX
Período	24/02/08 → 28/02/08

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/APEC.2008.4522708

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Rosero, J., Romeral, J. L., Cusido, J., Ortega, J. A., & Garcia, A. (2008). Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current. En 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC (pp. 111-116). Artículo 4522708 (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC). https://doi.org/10.1109/APEC.2008.4522708

@inproceedings{af00312649994cbbaf85d08356213b63,

title = "Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current",

abstract = "This paper presents the study of permanent magnet synchronous machines (PMSM) running with eccentricity and bearings damage. The objective is to detect and identify the fault through the current signature analysis. The stator current has been analyzed by means of both Fourier (FFT) and Discrete Wavelet (DWT) transforms. Simulations have been carried out with a two-dimensional (2-D) finite element analysis (FEA), and they have been also compared with experiments. The results prove that the method proposed can be used to identify mechanical faults in a PMSM.",

keywords = "Bearing, Damage, Drive, Eccentricity, Fault, Fourier, PMSM, Wavelet",

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

year = "2008",

doi = "10.1109/APEC.2008.4522708",

language = "English",

isbn = "9781424418749",

series = "Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC",

pages = "111--116",

booktitle = "2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC",

note = "2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC ; Conference date: 24-02-2008 Through 28-02-2008",

}

Rosero, J, Romeral, JL, Cusido, J, Ortega, JA & Garcia, A 2008, Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current. En 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC., 4522708, Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, pp. 111-116, 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC, Austin, TX, Estados Unidos, 24/02/08. https://doi.org/10.1109/APEC.2008.4522708

Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current. / Rosero, J.; Romeral, J. L.; Cusido, J. et al.
2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC. 2008. p. 111-116 4522708 (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC).

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

TY - GEN

T1 - Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current

AU - Rosero, J.

AU - Romeral, J. L.

AU - Cusido, J.

AU - Ortega, J. A.

AU - Garcia, A.

PY - 2008

Y1 - 2008

N2 - This paper presents the study of permanent magnet synchronous machines (PMSM) running with eccentricity and bearings damage. The objective is to detect and identify the fault through the current signature analysis. The stator current has been analyzed by means of both Fourier (FFT) and Discrete Wavelet (DWT) transforms. Simulations have been carried out with a two-dimensional (2-D) finite element analysis (FEA), and they have been also compared with experiments. The results prove that the method proposed can be used to identify mechanical faults in a PMSM.

AB - This paper presents the study of permanent magnet synchronous machines (PMSM) running with eccentricity and bearings damage. The objective is to detect and identify the fault through the current signature analysis. The stator current has been analyzed by means of both Fourier (FFT) and Discrete Wavelet (DWT) transforms. Simulations have been carried out with a two-dimensional (2-D) finite element analysis (FEA), and they have been also compared with experiments. The results prove that the method proposed can be used to identify mechanical faults in a PMSM.

KW - Bearing

KW - Damage

KW - Drive

KW - Eccentricity

KW - Fault

KW - Fourier

KW - PMSM

KW - Wavelet

UR - https://www.scopus.com/pages/publications/49249112758

U2 - 10.1109/APEC.2008.4522708

DO - 10.1109/APEC.2008.4522708

M3 - Conference contribution

AN - SCOPUS:49249112758

SN - 9781424418749

T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

SP - 111

EP - 116

BT - 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC

T2 - 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC

Y2 - 24 February 2008 through 28 February 2008

ER -

Rosero J, Romeral JL, Cusido J, Ortega JA, Garcia A. Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current. En 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC. 2008. p. 111-116. 4522708. (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC). doi: 10.1109/APEC.2008.4522708

Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current

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