Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics

Kwangik Cho; David Coats; John Abrams; Nicholas Goodman; Yong-June Shin; Abdel E. Bayoumi

doi:10.1117/12.795289

3 September 2008 Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics

Kwangik Cho, David Coats, John Abrams, Nicholas Goodman, Yong-June Shin, Abdel E. Bayoumi

Proceedings Volume 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII; 70740Y (2008) https://doi.org/10.1117/12.795289
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Kwangik Cho, David Coats, John Abrams, Nicholas Goodman, Yong-June Shin, and Abdel E. Bayoumi "Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics", Proc. SPIE 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII, 70740Y (3 September 2008); https://doi.org/10.1117/12.795289

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