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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationAdvanced Signal Processing Algorithms, Architectures, and Implementations XVIII
DOIs
Publication statusPublished - 2008 Dec 17
EventAdvanced Signal Processing Algorithms, Architectures, and Implementations XVIII - San Diego, CA, United States
Duration: 2008 Aug 102008 Aug 11

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7074
ISSN (Print)0277-786X

Other

OtherAdvanced Signal Processing Algorithms, Architectures, and Implementations XVIII
CountryUnited States
CitySan Diego, CA
Period08/8/1008/8/11

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All Science Journal Classification (ASJC) codes

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

Cite this

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