@inproceedings{13e39a8e1b854e63b77d7decb0968f89,
title = "On-line system for fault detection in induction machines based on wavelet convolution",
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. For proper results temporal analysis on determined frequency harmonics is needed. This paper proposes an automatic system for fault analysis based on wavelet functions, which allows on-line fault detection on time domain achieving good experimental results on stationary and non stationary state.",
author = "J. Cusido and Rosero, \{J. A.\} and M. Cusido and A. Garcia and Ortega, \{J. A.\} and L. Romeral",
year = "2007",
doi = "10.1109/imtc.2007.379106",
language = "English",
isbn = "1424410800",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2007 IEEE Instrumentation and Measurement Technology, IMTC 2007 - Conference Proceedings - Synergy of Science and Technology in Instrumentation and Measurement",
address = "United States",
note = "2007 IEEE Instrumentation and Measurement Technology, IMTC 2007 - Synergy of Science and Technology in Instrumentation and Measurement ; Conference date: 01-05-2007 Through 03-05-2007",
}