Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions

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

doi:10.1109/WISP.2007.4447494

Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions

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

^*Corresponding author for this work

Polytechnic University of Catalonia

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

3 Citations (Scopus)

Abstract

This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed for signal analysis. Simulations carried out were compared with experimental results.

Original language	English
Title of host publication	2007 IEEE International Symposium on Intelligent Signal Processing, WISP
DOIs	https://doi.org/10.1109/WISP.2007.4447494
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE International Symposium on Intelligent Signal Processing, WISP - Alcala de Henares, Spain Duration: 3 Oct 2007 → 5 Oct 2007

Publication series

Name	2007 IEEE International Symposium on Intelligent Signal Processing, WISP

Conference

Conference	2007 IEEE International Symposium on Intelligent Signal Processing, WISP
Country/Territory	Spain
City	Alcala de Henares
Period	3/10/07 → 5/10/07

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Drives
Eccentricity
FEA
Fault
PMSM
Time-frequency analysis
Wigner-ville distribution
Zao-atlas-marks distribution

Access to Document

10.1109/WISP.2007.4447494

Cite this

Rosero, J., Cusidó, J., García, A., Romeral, L., & Ortega, J. A. (2007). Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions. In 2007 IEEE International Symposium on Intelligent Signal Processing, WISP Article 4447494 (2007 IEEE International Symposium on Intelligent Signal Processing, WISP). https://doi.org/10.1109/WISP.2007.4447494

@inproceedings{f8e72e20aeb6466eb35578b76301835d,

title = "Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions",

abstract = "This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed for signal analysis. Simulations carried out were compared with experimental results.",

keywords = "Drives, Eccentricity, FEA, Fault, PMSM, Time-frequency analysis, Wigner-ville distribution, Zao-atlas-marks distribution",

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

year = "2007",

doi = "10.1109/WISP.2007.4447494",

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, Cusidó, J, García, A, Romeral, L & Ortega, JA 2007, Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions. in 2007 IEEE International Symposium on Intelligent Signal Processing, WISP., 4447494, 2007 IEEE International Symposium on Intelligent Signal Processing, WISP, 2007 IEEE International Symposium on Intelligent Signal Processing, WISP, Alcala de Henares, Spain, 3/10/07. https://doi.org/10.1109/WISP.2007.4447494

Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions. / Rosero, J.; Cusidó, J.; García, A. et al.
2007 IEEE International Symposium on Intelligent Signal Processing, WISP. 2007. 4447494 (2007 IEEE International Symposium on Intelligent Signal Processing, WISP).

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

TY - GEN

T1 - Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions

AU - Rosero, J.

AU - Cusidó, J.

AU - García, A.

AU - Romeral, L.

AU - Ortega, J. A.

PY - 2007

Y1 - 2007

N2 - This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed for signal analysis. Simulations carried out were compared with experimental results.

AB - This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed for signal analysis. Simulations carried out were compared with experimental results.

KW - Drives

KW - Eccentricity

KW - FEA

KW - Fault

KW - PMSM

KW - Time-frequency analysis

KW - Wigner-ville distribution

KW - Zao-atlas-marks distribution

UR - https://www.scopus.com/pages/publications/51149094967

U2 - 10.1109/WISP.2007.4447494

DO - 10.1109/WISP.2007.4447494

M3 - Conference contribution

AN - SCOPUS:51149094967

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 of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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