Fault detection in induction machines by using continuous and discrete wavelet decomposition

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

doi:10.1109/EPE.2007.4417512

Fault detection in induction machines by using continuous and discrete wavelet decomposition

Cusido^*
, L. Romeral
, A. Garcia
, J. A. Rosero
, J. A. Ortega

^*Corresponding author for this work

Polytechnic University of Catalonia

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

10 Citations (Scopus)

Abstract

Motor Current Signature Analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. This paper proposes a new approach to motor fault detection, by Wavelet decomposition analysis. Theoretical development and experimental results are presented to support the research.

Original language	English
Title of host publication	2007 European Conference on Power Electronics and Applications, EPE
DOIs	https://doi.org/10.1109/EPE.2007.4417512
Publication status	Published - 2007
Externally published	Yes
Event	2007 European Conference on Power Electronics and Applications, EPE - Aalborg, Denmark Duration: 2 Sept 2007 → 5 Sept 2007

Publication series

Name	2007 European Conference on Power Electronics and Applications, EPE

Conference

Conference	2007 European Conference on Power Electronics and Applications, EPE
Country/Territory	Denmark
City	Aalborg
Period	2/09/07 → 5/09/07

Keywords

Diagnostics
Fault handling strategy
Induction motor
Signal processing

Access to Document

10.1109/EPE.2007.4417512

Cite this

@inproceedings{7b28385fd47743acb12f85687dc17829,

title = "Fault detection in induction machines by using continuous and discrete wavelet decomposition",

abstract = "Motor Current Signature Analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. This paper proposes a new approach to motor fault detection, by Wavelet decomposition analysis. Theoretical development and experimental results are presented to support the research.",

keywords = "Diagnostics, Fault handling strategy, Induction motor, Signal processing",

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

year = "2007",

doi = "10.1109/EPE.2007.4417512",

language = "English",

isbn = "9075815115",

series = "2007 European Conference on Power Electronics and Applications, EPE",

booktitle = "2007 European Conference on Power Electronics and Applications, EPE",

note = "2007 European Conference on Power Electronics and Applications, EPE ; Conference date: 02-09-2007 Through 05-09-2007",

}

Cusido, Romeral, L, Garcia, A, Rosero, JA & Ortega, JA 2007, Fault detection in induction machines by using continuous and discrete wavelet decomposition. in 2007 European Conference on Power Electronics and Applications, EPE., 4417512, 2007 European Conference on Power Electronics and Applications, EPE, 2007 European Conference on Power Electronics and Applications, EPE, Aalborg, Denmark, 2/09/07. https://doi.org/10.1109/EPE.2007.4417512

Fault detection in induction machines by using continuous and discrete wavelet decomposition. / Cusido; Romeral, L.; Garcia, A. et al.
2007 European Conference on Power Electronics and Applications, EPE. 2007. 4417512 (2007 European Conference on Power Electronics and Applications, EPE).

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

TY - GEN

T1 - Fault detection in induction machines by using continuous and discrete wavelet decomposition

AU - Cusido,

AU - Romeral, L.

AU - Garcia, A.

AU - Rosero, J. A.

AU - Ortega, J. A.

PY - 2007

Y1 - 2007

N2 - Motor Current Signature Analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. This paper proposes a new approach to motor fault detection, by Wavelet decomposition analysis. Theoretical development and experimental results are presented to support the research.

AB - Motor Current Signature Analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. This paper proposes a new approach to motor fault detection, by Wavelet decomposition analysis. Theoretical development and experimental results are presented to support the research.

KW - Diagnostics

KW - Fault handling strategy

KW - Induction motor

KW - Signal processing

UR - https://www.scopus.com/pages/publications/51049110472

U2 - 10.1109/EPE.2007.4417512

DO - 10.1109/EPE.2007.4417512

M3 - Conference contribution

AN - SCOPUS:51049110472

SN - 9075815115

SN - 9789075815115

T3 - 2007 European Conference on Power Electronics and Applications, EPE

BT - 2007 European Conference on Power Electronics and Applications, EPE

T2 - 2007 European Conference on Power Electronics and Applications, EPE

Y2 - 2 September 2007 through 5 September 2007

ER -

Fault detection in induction machines by using continuous and discrete wavelet decomposition

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this