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 | |
| Publication status | Published - 2008 Dec 17 |
| 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 |
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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
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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
TY - GEN
T1 - Applications of time-frequency analysis for aging aircraft component diagnostics and prognostics
AU - Cho, Kwangik
AU - Coats, David
AU - Abrams, John
AU - Goodman, Nicholas
AU - Shin, Yong June
AU - Bayoumi, Abdel E.
PY - 2008/12/17
Y1 - 2008/12/17
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=57549108676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57549108676&partnerID=8YFLogxK
U2 - 10.1117/12.795289
DO - 10.1117/12.795289
M3 - Conference contribution
AN - SCOPUS:57549108676
SN - 9780819472946
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII
ER -