Damage detection in mechanical structures using extreme value statistics

2002 ◽  
Author(s):  
Keith Worden ◽  
David W. Allen ◽  
Hoon Sohn ◽  
Charles R. Farrar
Keyword(s):  
Damage Detection ◽  
Extreme Value ◽  
Extreme Value Statistics

Application of Frequency Domain ARX Models and Extreme Value Statistics to Impedance-Based Damage Detection

Aerospace ◽  
2003 ◽  
Author(s):  
Timothy R. Fasel ◽  
Hoon Sohn ◽  
Gyuhae Park ◽  
Charles R. Farrar
Keyword(s):  
Damage Detection ◽  
Frequency Domain ◽  
Extreme Value ◽  
Superior Performance ◽  
Extreme Value Statistics ◽  
Arx Model ◽  
Building Model ◽  
System Input ◽  
Auto Regressive ◽  
Non Gaussian

In this paper, the applicability of an auto-regressive model with exogenous inputs (ARX) in the frequency domain to structural health monitoring (SHM) is established. Damage sensitive features that explicitly consider nonlinear system input/output relationships are extracted from the ARX model. Furthermore, because of the non-Gaussian nature of the extracted features, Extreme Value Statistics (EVS) is employed to develop a robust damage classifier. EVS provides superior performance to standard statistical methods because the data of interest are in the tails (extremes) of the damage sensitive feature distribution. The suitability of the ARX model, combined with EVS, to nonlinear damage detection is demonstrated with an impedance-based method that uses piezoelectric (PZT) material as both actuators and sensors. The analyzed data is obtained from a laboratory experiment of a three-story building model.

Active sensing using impedance-based ARX models and extreme value statistics for damage detection

2005 ◽  
Vol 34 (7) ◽  
pp. 763-785 ◽  
Author(s):  
Timothy R. Fasel ◽  
Hoon Sohn ◽  
Gyuhae Park ◽  
Charles R. Farrar
Keyword(s):  
Damage Detection ◽  
Extreme Value ◽  
Extreme Value Statistics ◽  
Active Sensing

On the spectral shape of SEP events: An extreme value statistics approach

2013 ◽  
Author(s):  
M. Laurenza ◽  
G. Consolini ◽  
M. Storini ◽  
A. Damiani
Keyword(s):  
Extreme Value ◽  
Spectral Shape ◽  
Extreme Value Statistics

scholarly journals Bestimmung seltener Starkniederschläge kurzer Dauer - Fallbeispiele im Vergleich mit den schweizerischen Starkniederschlagskarten | Determination of Rare Rainfall Intensities of Short-Duration - Case Studies Compared with Maps of Intense Rainfall in Switzerland

1999 ◽  
Vol 150 (6) ◽  
pp. 209-218 ◽  
Author(s):  
Felix Forster ◽  
Walter Baumgartner
Keyword(s):  
Case Studies ◽  
Short Duration ◽  
Extreme Value ◽  
Extreme Value Statistics ◽  
Intense Rainfall

The two maps of intense rainfall in the Hydrological Atlas of Switzerland (1992, 1997) are compared to data of an evaluation of extreme value statistics. The results are transferred to recommendations for practioners.

scholarly journals Evaluation of Fatigue Characteristics of Aluminum Alloys and Mechanical Components Using Extreme Value Statistics and C-specimens

Metals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1915
Author(s):  
Jungsub Lee ◽  
Sang-Youn Park ◽  
Byoung-Ho Choi
Keyword(s):  
Aluminum Alloys ◽  
Fem Analysis ◽  
Extreme Value ◽  
Fatigue Tests ◽  
Extreme Value Statistics ◽  
Fatigue Properties ◽  
Chemical Compositions ◽  
Cross Sectional ◽  
Fatigue Characteristics ◽  
Mechanical Components

In this study, the fatigue characteristics of aluminum alloys and mechanical components were investigated. To evaluate the effect of forging, fatigue specimens with the same chemical compositions were prepared from billets and forged mechanical components. To evaluate the cleanliness of the aluminum alloys, the cross-sectional area of specimens was observed, and the maximum inclusion sizes were obtained using extreme value statistics. Rotary bending fatigue tests were performed, and the fracture surfaces of the specimens were analyzed. The results show that the forging process not only elevated the fatigue strength but also reduced the scatter of the fatigue life of aluminum alloys. The fatigue characteristics of C-specimens were obtained to develop finite-element method (FEM) models. With the intrinsic fatigue properties and strain–life approach, the FEM analysis results agreed well with the test results.

scholarly journals Combining large model ensembles with extreme value statistics to improve attribution statements of rare events

2015 ◽  
Vol 9 ◽  
pp. 25-35 ◽  
Author(s):  
Sebastian Sippel ◽  
Dann Mitchell ◽  
Mitchell T. Black ◽  
Andrea J. Dittus ◽  
Luke Harrington ◽  
...  
Keyword(s):  
Rare Events ◽  
Extreme Value ◽  
Extreme Value Statistics ◽  
Model Ensembles ◽  
Large Model
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