scholarly journals A wavelet packet based sifting process and its application for structural health monitoring

2004 ◽  
Author(s):  
A. Shinde ◽  
Zhikun Hou
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Wavelet Packet ◽  
Structural Health

Structural Health Monitoring (SHM) of Offshore Jacket Platforms

2011 ◽  
Author(s):  
Mohammad Ali Lotfollahi-Yaghin ◽  
Sajad Shahverdi ◽  
Reza Tarinejad ◽  
Behrouz Asgarian
Keyword(s):  
Structural Health Monitoring ◽  
Damage Detection ◽  
Health Monitoring ◽  
Damage Assessment ◽  
Structural Damage ◽  
Wavelet Packet ◽  
Structural Health ◽  
Finite Element Software ◽  
Modal Properties ◽  
Large Structures

In the present paper, Structural health monitoring has become an evolving area of research in last few decades with increasing need of online monitoring the health of large structures. The damage detection by visual inspection of the structure can prove impractical, expensive and ineffective in case of large structures like offshore platforms, multistoried buildings and bridges. Structural health monitoring is defined as the process of detecting damage in a structural system. Damage in the system causes a change in dynamic properties of a system. The structural damage is typically a local phenomenon, which tends to be captured by higher frequency signals. Most of vibration-based damage detection methods require the modal properties that are obtained from measured signals through the system identification techniques. However, the modal properties such as natural frequencies and mode shapes are not such a good sensitive indication of structural damage. Structural damage detection and damage localization of jacket platforms, based on wavelet packet transforms is presented in this paper. Dynamic signals measured from the structure by the finite element software package ANSYS are first decomposed into wavelet packet components. Component energies are then calculated and used for damage assessment. The results show that the WPT-based component energies are good candidate indices that are sensitive to structural damage. These component energies can be used for damage assessment including identifying damage occurrence and location.

Structural health monitoring and assessment using wavelet packet energy spectrum

2019 ◽  
Vol 120 ◽  
pp. 652-665 ◽  
Author(s):  
Yue Pan ◽  
Limao Zhang ◽  
Xianguo Wu ◽  
Kainan Zhang ◽  
Miroslaw J. Skibniewski
Keyword(s):  
Energy Spectrum ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Wavelet Packet ◽  
Structural Health

scholarly journals Health Status Monitoring of Cuplock Scaffold Joint Connection Based on Wavelet Packet Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Liuyu Zhang ◽  
Chenyu Wang ◽  
Gangbing Song
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Wavelet Packet ◽  
Experimental Results ◽  
Wavelet Packet Analysis ◽  
Monitoring Method ◽  
Structural Health ◽  
Index Matrix ◽  
Joint Connection ◽  
The Stability

The cuplock scaffolds are widely used as a temporary facility in the bridge and other constructions. The looseness of cuplock scaffold connection plays a significant role in the stability of the structure. Contemporary structural health monitoring method is reviewed in this paper at first, and then we proposed wavelet packet analysis based method. In order to detect the looseness of cuplock connection, three stress PZTs and three shear PZTs used as transducers are mounted onto vertical bar and cross bars of cuplok scaffold. Wavelet packet analysis is applied to analyze the transmitted signal energy between two PZTs through cuplok connection. Experimental results show that shear PZT has better performance than stress PZT to be used as actuator and sensor for the wavelet packet analysis based structural health monitoring. Besides, a sensor looseness index matrix (SLIM) is derived to indicate the looseness of the cuplock connection. The experimental results show that looseness index increases as the connection gets loose.

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