@inproceedings{9ecb6b657a8f4993833870d36df5bf08,
title = "Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics",
abstract = "The classical time-frequency distributions represent time- and frequency-localized energy. However, it is not an easy task to analyze multiple signals that have been simultaneously collected. In this paper, a new concept of non-parametric detection and classification of the signals is proposed using the mutual information measures in the time-frequency domain. The time-frequency-based self and mutual information is defined in terms of cross time-frequency distribution. Based on the time-frequency mutual information theory, this paper presents applications of the proposed technique to real-world vibration data. The baseline and misaligned experimental settings are quantitatively distinguished by the proposed technique.",
author = "Kwangik Cho and David Coats and John Abrams and Nicholas Goodman and Shin, {Yong June} and Bayoumi, {Abdel E.}",
year = "2008",
doi = "10.1117/12.795289",
language = "English",
isbn = "9780819472946",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII",
note = "Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII ; Conference date: 10-08-2008 Through 11-08-2008",
}