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

^*Corresponding author for this work

Polytechnic University of Catalonia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

45 Citations (Scopus)

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.

Original language	English
Title of host publication	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC
Pages	111-116
Number of pages	6
DOIs	https://doi.org/10.1109/APEC.2008.4522708
Publication status	Published - 2008
Externally published	Yes
Event	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC - Austin, TX, United States Duration: 24 Feb 2008 → 28 Feb 2008

Publication series

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

Conference

Conference	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC
Country/Territory	United States
City	Austin, TX
Period	24/02/08 → 28/02/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Bearing
Damage
Drive
Eccentricity
Fault
Fourier
PMSM
Wavelet

Access to Document

10.1109/APEC.2008.4522708

Cite this

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. In 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC (pp. 111-116). Article 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. in 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, United States, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

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