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

^*Autor correspondiente de este trabajo

Polytechnic University of Catalonia

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

15 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	IMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference
Páginas	1397-1400
Número de páginas	4
DOI	https://doi.org/10.1109/IMTC.2006.236251
Estado	Publicada - 2006
Publicado de forma externa	Sí
Evento	IMTC'06 - IEEE Instrumentation and Measurement Technology Conference - Sorrento, Italia Duración: 24 abr 2006 → 27 abr 2006

Serie de la publicación

Nombre	Conference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (versión impresa)	1091-5281

Conferencia

Conferencia	IMTC'06 - IEEE Instrumentation and Measurement Technology Conference
País/Territorio	Italia
Ciudad	Sorrento
Período	24/04/06 → 27/04/06

Acceder al documento

10.1109/IMTC.2006.236251

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

@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. En 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, Italia, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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

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