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

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII
DOIs	https://doi.org/10.1117/12.795289
Publication status	Published - 2008
Event	Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII - San Diego, CA, United States Duration: 2008 Aug 10 → 2008 Aug 11

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7074
ISSN (Print)	0277-786X

Other

Other	Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII
Country	United States
City	San Diego, CA
Period	08/8/10 → 08/8/11

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.795289

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Cho, K., Coats, D., Abrams, J., Goodman, N., Shin, Y. J., & Bayoumi, A. E. (2008). Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics. In Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII [70740Y] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7074). https://doi.org/10.1117/12.795289

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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.}",

note = "Copyright: Copyright 2009 Elsevier B.V., All rights reserved.; Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII ; Conference date: 10-08-2008 Through 11-08-2008",

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Cho, K, Coats, D, Abrams, J, Goodman, N, Shin, YJ & Bayoumi, AE 2008, Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics. in Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII., 70740Y, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7074, Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII, San Diego, CA, United States, 08/8/10. https://doi.org/10.1117/12.795289

Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics. / Cho, Kwangik; Coats, David; Abrams, John; Goodman, Nicholas; Shin, Yong June; Bayoumi, Abdel E.

Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII. 2008. 70740Y (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7074).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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