Real-Time Frequency-Domain Decomposition for Structural Health Monitoring Using General-Purpose Graphic Processing Unit

2014 ◽  
Vol 29 (9) ◽  
pp. 689-702 ◽  
Author(s):  
Marco Torbol
Keyword(s):  
Structural Health Monitoring ◽  
Domain Decomposition ◽  
Frequency Domain ◽  
Real Time ◽  
Health Monitoring ◽  
Graphic Processing Unit ◽  
General Purpose ◽  
Processing Unit ◽  
Time Frequency ◽  
Frequency Domain Decomposition

scholarly journals Output-Only Structural Health Monitoring for Deepwater Risers: Experimental Study of Wavelet Modified SOBI and Distributed Force Index Algorithm

2014 ◽  
Vol 14 (05) ◽  
pp. 1440010 ◽  
Author(s):  
Chaojun Huang ◽  
Satish Nagarajaiah
Keyword(s):  
Structural Health Monitoring ◽  
Frequency Domain ◽  
Health Monitoring ◽  
Water Injection ◽  
Damage Level ◽  
Time Frequency ◽  
Structural Health ◽  
Modal Properties ◽  
Output Only ◽  
Deepwater Risers

Risers are the conduits between the subsea wellhead and the drilling/production platform for development, production, gas lift or water injection purposes, which are also one of the most important and the most vulnerable components for deepwater floating platforms. To address the lack of appropriate global structural health monitoring (SHM) system for deepwater risers, this paper proposes a time-frequency domain approach using a wavelet modified second order blind identification (WMSOBI) method and combined distributed force change (CDFC) index. WMSOBI provides a reliable time-frequency domain identified modal properties of riser systems, even with large damping and under-determinate conditions. In addition, CDFC index generated from modal properties extracted by WMSOBI can accurately identify the damage location and damage level for both single and multiple crack scenarios. Details of experiments conducted on suspended pipe are presented. Both numerical and experimental verification are presented to validate the effectiveness of the proposed WMSOBI/CFDC algorithm and SHM system.

Time–frequency and time–scale analyses for structural health monitoring

2006 ◽  
Vol 365 (1851) ◽  
pp. 449-477 ◽  
Author(s):  
Wiesław J Staszewski ◽  
Amy N Robertson
Keyword(s):  
Signal Processing ◽  
Structural Health Monitoring ◽  
Damage Detection ◽  
Health Monitoring ◽  
Time Scale ◽  
Time Frequency ◽  
Structural Health ◽  
Variant Analysis

Signal processing is one of the most important elements of structural health monitoring. This paper documents applications of time-variant analysis for damage detection. Two main approaches, the time–frequency and the time–scale analyses are discussed. The discussion is illustrated by application examples relevant to damage detection.

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