Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

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

doi:10.1109/WISP.2007.4447631

Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

J. Rosero^*
, A. Garcia
, J. Cusido
, 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

19 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. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.

Original language	English
Title of host publication	2007 IEEE International Symposium on Intelligent Signal Processing, WISP
DOIs	https://doi.org/10.1109/WISP.2007.4447631
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

Current
Demagnetization
Drive
Empirical mode decomposition
FEA
Fault
Hilbert Huang transform
PMSM
Simulation

Access to Document

10.1109/WISP.2007.4447631

Cite this

Rosero, J., Garcia, A., Cusido, J., Romeral, L., & Ortega, J. A. (2007). Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization. In 2007 IEEE International Symposium on Intelligent Signal Processing, WISP Article 4447631 (2007 IEEE International Symposium on Intelligent Signal Processing, WISP). https://doi.org/10.1109/WISP.2007.4447631

@inproceedings{041809828f2844c095c8e5ea4a1818ef,

title = "Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization",

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. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.",

keywords = "Current, Demagnetization, Drive, Empirical mode decomposition, FEA, Fault, Hilbert Huang transform, PMSM, Simulation",

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

year = "2007",

doi = "10.1109/WISP.2007.4447631",

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, Garcia, A, Cusido, J, Romeral, L & Ortega, JA 2007, Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization. in 2007 IEEE International Symposium on Intelligent Signal Processing, WISP., 4447631, 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.2007.4447631

Fault detection by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization. / Rosero, J.; Garcia, A.; Cusido, J. et al.
2007 IEEE International Symposium on Intelligent Signal Processing, WISP. 2007. 4447631 (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 by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

AU - Rosero, J.

AU - Garcia, A.

AU - Cusido, J.

AU - Romeral, L.

AU - Ortega, J. A.

PY - 2007

Y1 - 2007

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. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.

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. The Hilbert Huang transform (HHT) is used as processing tool. This transformation represents time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instantaneous frequency components within the signal through an Empirical Mode Decomposition (EMD) process.

KW - Current

KW - Demagnetization

KW - Drive

KW - Empirical mode decomposition

KW - FEA

KW - Fault

KW - Hilbert Huang transform

KW - PMSM

KW - Simulation

UR - https://www.scopus.com/pages/publications/49249114687

U2 - 10.1109/WISP.2007.4447631

DO - 10.1109/WISP.2007.4447631

M3 - Conference contribution

AN - SCOPUS:49249114687

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 by means of Hilbert Huang transform of the stator current in a PMSM with demagnetization

Abstract

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UN SDGs

Keywords

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