scholarly journals Online Nonlinear Structural Damage Detection Using Hilbert Huang Transform and Artificial Neural Networks

2019 ◽  
Vol 0 (0) ◽  
pp. 0-0 ◽  
Author(s):  
Sayyed Mohsen Vazirizade ◽  
Ali Bakhshi ◽  
Omid Bahar ◽  
Saeed Nozhati
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Damage Detection ◽  
Structural Damage ◽  
Structural Damage Detection ◽  
Hilbert Huang Transform ◽  
Nonlinear Structural ◽  
Artificial Neural

STRUCTURAL DAMAGE DETECTION BASED ON CHANGES IN DYNAMIC PARAMETERS

2017 ◽  
Vol 166 (46) ◽  
pp. 75-84
Author(s):  
Dominika Ziaja ◽  
Bartosz Miller
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Damage Detection ◽  
Health Monitoring ◽  
Structural Damage ◽  
Single Layer ◽  
Dynamic Parameters ◽  
Structural Damage Detection ◽  
Dynamic Excitation ◽  
Portal Frame

The article presents the idea of structural health monitoring as a supporting action to protect the environment. The preliminary proposal of a procedure enabling the damage detection of the joints is shown on the example of a two-storey portal frame. Conclusions, presented in the paper, based on the measurement of accelerations in selected points of structure, subjected to dynamic excitation. Single-layer, feed-forward artificial neural networks were used as a tool for the analysis of changes in the dynamic parameters.

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