Prediction error of Johansen cointegration residuals for structural health monitoring

2021 ◽  
Vol 160 ◽  
pp. 107847
Author(s):  
Mohsen Mousavi ◽  
Amir H. Gandomi
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Prediction Error ◽  
Structural Health ◽  
Johansen Cointegration

An Evaluation of Damage Features Extraction from Attractors in Structural Health Monitoring

2011 ◽  
Vol 105-107 ◽  
pp. 738-741
Author(s):  
Chao Xu ◽  
Dong Wang
Keyword(s):  
Structural Health Monitoring ◽  
State Space ◽  
Health Monitoring ◽  
Prediction Error ◽  
Structural Response ◽  
Accurate Information ◽  
Variance Ratio ◽  
Damage Level ◽  
Structural Health ◽  
Local Variance

Structural health monitoring provides accurate information about structure’s safety and integrity. The vibration-based structural health monitoring involves extracting a feature which robustly quantifies damage induced change to the structure. Recent work has focused on damage features extracted from the state space attractor of the structural response. Some of these features involve prediction error and local variance ratio. In the present paper, a five degree of freedom spring damper system forced by a Lorenz excitation is used to evaluate these two typical damage features. Their ability of identification damage level and location is characterized and compared.

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