Real time frequency domain decomposition for structural health monitoring

2014 ◽  
pp. 4585-4590
Author(s):  
Marco Torbol ◽  
Chung Yun
Keyword(s):  
Structural Health Monitoring ◽  
Domain Decomposition ◽  
Frequency Domain ◽  
Real Time ◽  
Health Monitoring ◽  
Time Frequency ◽  
Structural Health ◽  
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.

scholarly journals Arrays of Conformable Ultrasonic Lamb Wave Transducers for Structural Health Monitoring with Real-time Electronics

2014 ◽  
Vol 87 ◽  
pp. 1266-1269 ◽  
Author(s):  
L. Capineri ◽  
A. Bulletti ◽  
M. Calzolai ◽  
P. Giannelli ◽  
D. Francesconi
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Structural Health

Safety 4.0 for the Most Dangerous Industrial Objects

2021 ◽  
Author(s):  
Igor Razuvaev
Keyword(s):  
Decision Making ◽  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
Low Temperatures ◽  
Storage Tanks ◽  
Data Verification ◽  
Structural Health

Abstract Isothermal Storage Tanks (IST) contains tens thousands tons of the liquefied gases (propane, ethane, ethylene, etc.) at very low temperatures. These are the most dangerous industrial objects. In the report the Integrated Structural Health Monitoring (ISHM) Systems for the management of the integrity of these tanks in real time is considered. The structure of the ISHM Systems, NDT methods, technical characteristics, data verification procedures, a decision-making algorithm and practical results are described.

Dielectric Response of Adaptive Piezoelectric Sensoriactuators

2000 ◽  
Author(s):  
Jeffrey S. Vipperman ◽  
Deyu Li
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Field Dependence ◽  
Health Monitoring ◽  
Dielectric Response ◽  
Capacitance Measurement ◽  
Structural Health ◽  
Nonideal Behavior

Abstract This paper closely examines the nature of the dielectric response of piezoceramics that are used as Adaptive Piezoelectric Sensoriactuators (APSAs). Firstly, it is demonstrated that he APSA possesses real time structural health monitoring abilities, based on the capacitance measurement of the piezoceramic. Secondly, nonideal behavior including lossy, hysteretic, and field dependence is measured in the piezoceramics and a method mitigating some of this response in the Adaptive Piezoelectric Sensoriactuator is proposed.

Development of IOT Based Smart Instrumentation for the Real Time Structural Health Monitoring

2020 ◽  
Vol 113 (3) ◽  
pp. 1641-1649
Author(s):  
Bhawani Shankar Chowdhry ◽  
Ali Akbar Shah ◽  
Muhammad Aslam Uqaili ◽  
Tayab Memon
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
The Real ◽  
Structural Health
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