Damage Detection Based on Cross-Term Extraction from Bilinear Time-Frequency Distributions
Joint Authors
Kai, Wang
Yan, Weiming
He, Haoxiang
Yuchao, Ma
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Abundant damage information is implicated in the bilinear time-frequency distribution of structural dynamic signals, which could provide effective support for structural damage identification.
Signal time-frequency analysis methods are reviewed, and the characters of linear time-frequency distribution and bilinear time-frequency distribution typically represented by the Wigner-Ville distribution are compared.
The existence of the cross-term and its application in structural damage detection are demonstrated.
A method of extracting the dominant term is proposed, which combines the short-time Fourier spectrum and Wigner-Ville distribution; then two-dimensional time-frequency transformation matrix is constructed and the complete cross-term is extracted finally.
The distribution character of which could be applied to the structural damage identification.
Through theoretical analysis, model experiment and numerical simulation of the girder structure, the change rate of cross-term amplitude is validated to identify the damage location and degree.
The effectiveness of the cross-term of bilinear time-frequency distribution for damage detection is confirmed and the analytical method of damage identification used in structural engineering is available.
American Psychological Association (APA)
Yuchao, Ma& Yan, Weiming& He, Haoxiang& Kai, Wang. 2014. Damage Detection Based on Cross-Term Extraction from Bilinear Time-Frequency Distributions. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-513770
Modern Language Association (MLA)
Yuchao, Ma…[et al.]. Damage Detection Based on Cross-Term Extraction from Bilinear Time-Frequency Distributions. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-513770
American Medical Association (AMA)
Yuchao, Ma& Yan, Weiming& He, Haoxiang& Kai, Wang. Damage Detection Based on Cross-Term Extraction from Bilinear Time-Frequency Distributions. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-513770
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-513770