Wavelet and PSD as a fault detection techniques

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

doi:10.1109/IMTC.2006.236251

Wavelet and PSD as a fault detection techniques

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

^*Corresponding author for this work

Polytechnic University of Catalonia

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

15 Citations (Scopus)

Abstract

Motor Current Signature Analysis has been successfully used for fault diagnosis in induction machines. However this method does not always achieve good results with not constant load torque. This paper proposes a different signal processing method, by combination of Wavelet and Power Spectral Density techniques. It presents good theoretical and experimental results.

Original language	English
Title of host publication	IMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference
Pages	1397-1400
Number of pages	4
DOIs	https://doi.org/10.1109/IMTC.2006.236251
Publication status	Published - 2006
Externally published	Yes
Event	IMTC'06 - IEEE Instrumentation and Measurement Technology Conference - Sorrento, Italy Duration: 24 Apr 2006 → 27 Apr 2006

Publication series

Name	Conference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)	1091-5281

Conference

Conference	IMTC'06 - IEEE Instrumentation and Measurement Technology Conference
Country/Territory	Italy
City	Sorrento
Period	24/04/06 → 27/04/06

Keywords

Electrical drives
Fault detection
Induction motor

Access to Document

10.1109/IMTC.2006.236251

Cite this

@inproceedings{d833f33622334859b56463694c5bc5ce,

title = "Wavelet and PSD as a fault detection techniques",

abstract = "Motor Current Signature Analysis has been successfully used for fault diagnosis in induction machines. However this method does not always achieve good results with not constant load torque. This paper proposes a different signal processing method, by combination of Wavelet and Power Spectral Density techniques. It presents good theoretical and experimental results.",

keywords = "Electrical drives, Fault detection, Induction motor",

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

year = "2006",

doi = "10.1109/IMTC.2006.236251",

language = "English",

isbn = "0780393600",

series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",

pages = "1397--1400",

booktitle = "IMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference",

note = "IMTC'06 - IEEE Instrumentation and Measurement Technology Conference ; Conference date: 24-04-2006 Through 27-04-2006",

}

Cusido, J, Jornet, A, Romeral, L, Ortega, JA & Garcia, A 2006, Wavelet and PSD as a fault detection techniques. in IMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference., 1700409, Conference Record - IEEE Instrumentation and Measurement Technology Conference, pp. 1397-1400, IMTC'06 - IEEE Instrumentation and Measurement Technology Conference, Sorrento, Italy, 24/04/06. https://doi.org/10.1109/IMTC.2006.236251

Wavelet and PSD as a fault detection techniques. / Cusido, J.; Jornet, A.; Romeral, L. et al.
IMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference. 2006. p. 1397-1400 1700409 (Conference Record - IEEE Instrumentation and Measurement Technology Conference).

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

TY - GEN

T1 - Wavelet and PSD as a fault detection techniques

AU - Cusido, J.

AU - Jornet, A.

AU - Romeral, L.

AU - Ortega, J. A.

AU - Garcia, A.

PY - 2006

Y1 - 2006

N2 - Motor Current Signature Analysis has been successfully used for fault diagnosis in induction machines. However this method does not always achieve good results with not constant load torque. This paper proposes a different signal processing method, by combination of Wavelet and Power Spectral Density techniques. It presents good theoretical and experimental results.

AB - Motor Current Signature Analysis has been successfully used for fault diagnosis in induction machines. However this method does not always achieve good results with not constant load torque. This paper proposes a different signal processing method, by combination of Wavelet and Power Spectral Density techniques. It presents good theoretical and experimental results.

KW - Electrical drives

KW - Fault detection

KW - Induction motor

UR - https://www.scopus.com/pages/publications/36048991144

U2 - 10.1109/IMTC.2006.236251

DO - 10.1109/IMTC.2006.236251

M3 - Conference contribution

AN - SCOPUS:36048991144

SN - 0780393600

SN - 9780780393608

T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference

SP - 1397

EP - 1400

BT - IMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference

T2 - IMTC'06 - IEEE Instrumentation and Measurement Technology Conference

Y2 - 24 April 2006 through 27 April 2006

ER -

Wavelet and PSD as a fault detection techniques

Abstract

Publication series

Conference

Keywords

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