Location of Multiple Damage Types in a Truss-Type Structure Using Multiple Signal Classification Method and Vibration Signals
Carlos A. Perez-Ramirez,Jose M. Machorro-Lopez,Martin Valtierra-Rodriguez,Juan P. Amezquita-Sanchez,Arturo Garcia-Perez,David Camarena-Martinez,Rene de Jesus Romero-Troncoso +6 more
- Vol. 8, Iss: 6, pp 932
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TLDR
The presented results show that the proposed MUSIC method can make an accurate and reliable estimation of the condition and location of three specific damage conditions, i.e., loosened bolts, internal corrosion, and external corrosion.Abstract:
A new multiple signal classification (MUSIC)-based methodology is presented for detecting and locating multiple damage types in a truss-type structure subjected to dynamic excitations. The methodology is based mainly on two steps: in step 1, the MUSIC method is employed to obtain the pseudo-spectra of vibration signatures, healthy and damaged, to be used for damage detection. In step 2, a new damage index, based on the obtained pseudo-spectra, is proposed to measure the structure condition. Furthermore, the damage location is estimated according to the variation in the amplitudes of the estimated pseudo-spectra. The presented results show that the proposed methodology can make an accurate and reliable estimation of the condition and location of three specific damage conditions, i.e., loosened bolts, internal corrosion, and external corrosion.read more
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References
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Journal ArticleDOI
Detection of structural damage through changes in frequency: a review
TL;DR: The use of natural frequency as a diagnostic parameter in structural assessment procedures using vibration monitoring is discussed in this paper, based on the fact that natural frequencies are sensitive indicators of structural integrity.
Journal ArticleDOI
A New Approach for Health Monitoring of Structures: Terrestrial Laser Scanning
TL;DR: The proposed TLS method allows measurement of the entire bridge's deformed shape, and thus a realistic solution for monitoring structures at both structure and member level, and can be used to create a 3-D finite element model of a structural member or the entire structure at any point in time automatically.
Journal ArticleDOI
Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures
TL;DR: The biggest challenge in realization of health monitoring of large real-life structures is automated detection of damage out of the huge amount of very noisy data collected from dozens of sensors on a daily, weekly, and monthly basis.
Journal ArticleDOI
A literature review of next-generation smart sensing technology in structural health monitoring
TL;DR: The state‐of‐the‐art methods have been presented by conducting a detailed literature review of the recent applications of smartphones, UAVs, cameras, and robotic sensors used in acquiring and analyzing the vibration data for structural condition monitoring and maintenance.
Journal ArticleDOI
Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildings
Xiaomo Jiang,Hojjat Adeli +1 more
TL;DR: In this article, a nonparametric system identification-based model is presented for damage detection of high-rise building structures subjected to seismic excitations using the dynamic fuzzy wavelet neural network (WNN) model developed by the authors.