Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM

J. Rosero; L. Romeral; J. A. Ortega; J. C. Urresty

doi:10.1109/ISIE.2008.4677217

Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM

J. Rosero^*
, L. Romeral
, J. A. Ortega
, J. C. Urresty

^*Corresponding author for this work

Polytechnic University of Catalonia

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

61 Citations (Scopus)

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 for torque change.

Original language	English
Title of host publication	2008 IEEE International Symposium on Industrial Electronics, ISIE 2008
Pages	172-177
Number of pages	6
DOIs	https://doi.org/10.1109/ISIE.2008.4677217
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE International Symposium on Industrial Electronics, ISIE 2008 - Cambridge, United Kingdom Duration: 30 Jun 2008 → 2 Jul 2008

Publication series

Name	IEEE International Symposium on Industrial Electronics

Conference

Conference	2008 IEEE International Symposium on Industrial Electronics, ISIE 2008
Country/Territory	United Kingdom
City	Cambridge
Period	30/06/08 → 2/07/08

Keywords

Demagnetization
Drive
Empirical mode decomposition
FEA
Fault
Hilbert huang transform
PMSM

UN SDGs

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

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10.1109/ISIE.2008.4677217

Cite this

Rosero, J., Romeral, L., Ortega, J. A., & Urresty, J. C. (2008). Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM. In 2008 IEEE International Symposium on Industrial Electronics, ISIE 2008 (pp. 172-177). Article 4677217 (IEEE International Symposium on Industrial Electronics). https://doi.org/10.1109/ISIE.2008.4677217

@inproceedings{8f66cdaafb2b48cdb3a7d2db2a83f9f3,

title = "Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM",

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 for torque change.",

keywords = "Demagnetization, Drive, Empirical mode decomposition, FEA, Fault, Hilbert huang transform, PMSM",

author = "J. Rosero and L. Romeral and Ortega, \{J. A.\} and Urresty, \{J. C.\}",

year = "2008",

doi = "10.1109/ISIE.2008.4677217",

language = "English",

isbn = "1424416655",

series = "IEEE International Symposium on Industrial Electronics",

pages = "172--177",

booktitle = "2008 IEEE International Symposium on Industrial Electronics, ISIE 2008",

note = "2008 IEEE International Symposium on Industrial Electronics, ISIE 2008 ; Conference date: 30-06-2008 Through 02-07-2008",

}

Rosero, J, Romeral, L, Ortega, JA & Urresty, JC 2008, Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM. in 2008 IEEE International Symposium on Industrial Electronics, ISIE 2008., 4677217, IEEE International Symposium on Industrial Electronics, pp. 172-177, 2008 IEEE International Symposium on Industrial Electronics, ISIE 2008, Cambridge, United Kingdom, 30/06/08. https://doi.org/10.1109/ISIE.2008.4677217

Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM. / Rosero, J.; Romeral, L.; Ortega, J. A. et al.
2008 IEEE International Symposium on Industrial Electronics, ISIE 2008. 2008. p. 172-177 4677217 (IEEE International Symposium on Industrial Electronics).

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

TY - GEN

T1 - Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM

AU - Rosero, J.

AU - Romeral, L.

AU - Ortega, J. A.

AU - Urresty, J. C.

PY - 2008

Y1 - 2008

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 for torque change.

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 for torque change.

KW - Demagnetization

KW - Drive

KW - Empirical mode decomposition

KW - FEA

KW - Fault

KW - Hilbert huang transform

KW - PMSM

UR - https://www.scopus.com/pages/publications/57849161597

U2 - 10.1109/ISIE.2008.4677217

DO - 10.1109/ISIE.2008.4677217

M3 - Conference contribution

AN - SCOPUS:57849161597

SN - 1424416655

SN - 9781424416653

T3 - IEEE International Symposium on Industrial Electronics

SP - 172

EP - 177

BT - 2008 IEEE International Symposium on Industrial Electronics, ISIE 2008

T2 - 2008 IEEE International Symposium on Industrial Electronics, ISIE 2008

Y2 - 30 June 2008 through 2 July 2008

ER -

Demagnetization fault detection by means of hilbert huang transform of the stator current decomposition in PMSM

Abstract

Publication series

Conference

Keywords

UN SDGs

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