@inproceedings{35cff50ffe09476191aeecd5783092df,
title = "Fault detection in induction machines by using power spectral density on the wavelet decompositions",
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 analyzing the spectrogram and further combination of Wavelet and Power Spectral Density techniques. Theoretical development and experimental results are presented to support the research.",
keywords = "Electrical drives, Fault detection, Induction motor, Wavelet analysis",
author = "J. Cusido and Rosero, \{J. A.\} and L. Romeral and Ortega, \{J. A.\} and A. Garcia",
year = "2006",
doi = "10.1109/PESC.2006.1712271",
language = "English",
isbn = "0780397169",
series = "PESC Record - IEEE Annual Power Electronics Specialists Conference",
booktitle = "37th IEEE Power Electronics Specialists Conference 2006, PESC'06",
note = "37th IEEE Power Electronics Specialists Conference 2006, PESC'06 ; Conference date: 18-06-2006 Through 22-06-2006",
}