DocumentCode
2761651
Title
Region of Interest Identification for Damage Detection via Sub-Band Near-Field Beamforming and Symmetric Arrays
Author
Medda, Alessio ; DeBrunner, Victor ; DeBrunner, Linda
Author_Institution
Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL
fYear
2009
fDate
4-7 Jan. 2009
Firstpage
634
Lastpage
638
Abstract
The near-field sub-band beamforming method for damage detection is a technique that addresses some inherent problem in current and past methods for damage detection in civil structures. It has been shown that the above mentioned algorithm is able to provide an approximate space/frequency localization of a damaged region in a simulated structure. This is accomplished by subband energy comparison among scanning directions, using a reference signal from the pristine system. To move towards a more usable algorithm, we need to eliminate the need for the reference measurements, and operate with only one set of data. In this paper we describe the first theoretical step to achieve this goal using two symmetric sub-arrays to identify Regions-Of-Interest (ROI) of the structure at the crossing points of opposite scanning directions. Moreover, an analysis on the effect of damage on the spectral signal from a simulated FE structure is used to help understand how the strain on the physical parameters of the system impacts the response of the structure.
Keywords
array signal processing; condition monitoring; spectral analysis; structural engineering; civil structures; damage detection; near-field sub-band beamforming method; pristine system; reference signal; region of interest identification; simulated FE structure; space/frequency localization; spectral signal; sub-band near-field beamforming; subband energy comparison; symmetric arrays; symmetric sub-arrays; Adaptive arrays; Array signal processing; Distortion; Frequency; Monitoring; Phased arrays; Sensor arrays; Sensor phenomena and characterization; Solid modeling; Wavelet packets; Adaptive Arrays; Beamforming; Energy Analysis; Structural Health Monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location
Marco Island, FL
Print_ISBN
978-1-4244-3677-4
Electronic_ISBN
978-1-4244-3677-4
Type
conf
DOI
10.1109/DSP.2009.4786000
Filename
4786000
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