PMSM bearing fault detection by means of fourier and wavelet transform

J. Rosero; J. Cusidó; J. A. Ortega; L. Romeral; A. García

doi:10.1109/IECON.2007.4460324

PMSM bearing fault detection by means of fourier and wavelet transform

J. Rosero^*
, J. Cusidó
, J. A. Ortega
, L. Romeral
, A. García

^*Corresponding author for this work

Polytechnic University of Catalonia

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

17 Citations (Scopus)

Abstract

This paper presents a study of permanent magnet synchronous machines (PMSM) with bearing fault using a two-dimensional (2-D) finite element analysis (FEA). Fourier Fast and Wavelet Transform were used to fault detection of bearing damage under stationary and non stationary working conditions. Simulation were carried out and compared with experimental results.

Original language	English
Title of host publication	Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Pages	1163-1168
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2007.4460324
Publication status	Published - 2007
Externally published	Yes
Event	33rd Annual Conference of the IEEE Industrial Electronics Society, IECON - Taipei, Taiwan, Province of China Duration: 5 Nov 2007 → 8 Nov 2007

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Conference

Conference	33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Country/Territory	Taiwan, Province of China
City	Taipei
Period	5/11/07 → 8/11/07

Keywords

Drive
EEA
Fault bearing damage
PMSM
Wavelet

UN SDGs

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

Access to Document

10.1109/IECON.2007.4460324

Cite this

Rosero, J., Cusidó, J., Ortega, J. A., Romeral, L., & García, A. (2007). PMSM bearing fault detection by means of fourier and wavelet transform. In Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON (pp. 1163-1168). Article 4460324 (IECON Proceedings (Industrial Electronics Conference)). https://doi.org/10.1109/IECON.2007.4460324

@inproceedings{c01d828b85604466b1624a68e28e55e1,

title = "PMSM bearing fault detection by means of fourier and wavelet transform",

abstract = "This paper presents a study of permanent magnet synchronous machines (PMSM) with bearing fault using a two-dimensional (2-D) finite element analysis (FEA). Fourier Fast and Wavelet Transform were used to fault detection of bearing damage under stationary and non stationary working conditions. Simulation were carried out and compared with experimental results.",

keywords = "Drive, EEA, Fault bearing damage, PMSM, Wavelet",

author = "J. Rosero and J. Cusid{\'o} and Ortega, \{J. A.\} and L. Romeral and A. Garc{\'i}a",

year = "2007",

doi = "10.1109/IECON.2007.4460324",

language = "English",

isbn = "1424407834",

series = "IECON Proceedings (Industrial Electronics Conference)",

pages = "1163--1168",

booktitle = "Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON",

note = "33rd Annual Conference of the IEEE Industrial Electronics Society, IECON ; Conference date: 05-11-2007 Through 08-11-2007",

}

Rosero, J, Cusidó, J, Ortega, JA, Romeral, L & García, A 2007, PMSM bearing fault detection by means of fourier and wavelet transform. in Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON., 4460324, IECON Proceedings (Industrial Electronics Conference), pp. 1163-1168, 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON, Taipei, Taiwan, Province of China, 5/11/07. https://doi.org/10.1109/IECON.2007.4460324

PMSM bearing fault detection by means of fourier and wavelet transform. / Rosero, J.; Cusidó, J.; Ortega, J. A. et al.
Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON. 2007. p. 1163-1168 4460324 (IECON Proceedings (Industrial Electronics Conference)).

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

TY - GEN

T1 - PMSM bearing fault detection by means of fourier and wavelet transform

AU - Rosero, J.

AU - Cusidó, J.

AU - Ortega, J. A.

AU - Romeral, L.

AU - García, A.

PY - 2007

Y1 - 2007

N2 - This paper presents a study of permanent magnet synchronous machines (PMSM) with bearing fault using a two-dimensional (2-D) finite element analysis (FEA). Fourier Fast and Wavelet Transform were used to fault detection of bearing damage under stationary and non stationary working conditions. Simulation were carried out and compared with experimental results.

AB - This paper presents a study of permanent magnet synchronous machines (PMSM) with bearing fault using a two-dimensional (2-D) finite element analysis (FEA). Fourier Fast and Wavelet Transform were used to fault detection of bearing damage under stationary and non stationary working conditions. Simulation were carried out and compared with experimental results.

KW - Drive

KW - EEA

KW - Fault bearing damage

KW - PMSM

KW - Wavelet

UR - https://www.scopus.com/pages/publications/49949083987

U2 - 10.1109/IECON.2007.4460324

DO - 10.1109/IECON.2007.4460324

M3 - Conference contribution

AN - SCOPUS:49949083987

SN - 1424407834

SN - 9781424407835

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 1163

EP - 1168

BT - Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON

T2 - 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON

Y2 - 5 November 2007 through 8 November 2007

ER -

PMSM bearing fault detection by means of fourier and wavelet transform

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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