- STATISTICAL DAMAGE DETECTION AND LOCALIZA| TION WITH ...🔍
- Statistical model|based damage detection and localization🔍
- Localizability of damage with statistical tests and sensitivity|based ...🔍
- Damage Detection and Localization in Structures🔍
- Damage Detection and Localization Using Autocorrelation ...🔍
- Damage Detection and Localization under Variable Environmental ...🔍
- Surface Damage Detection and Localization for Bridge Visual ...🔍
- Damage detection and localization from linear and nonlinear global ...🔍
STATISTICAL DAMAGE DETECTION AND LOCALIZA| TION WITH ...
STATISTICAL DAMAGE DETECTION AND LOCALIZA- TION WITH ...
STATISTICAL DAMAGE DETECTION AND LOCALIZA-. TION WITH MAHALANOBIS DISTANCE APPLIED TO MODAL. PARAMETERS. Szymon Gres1, Alexander Mendler2, Niels-Jørgen ...
Statistical model-based damage detection and localization
The proposed damage localization method is based on both a subspace residual and on a statistical analysis of aggregated sensitivities of the residual to the ...
Localizability of damage with statistical tests and sensitivity-based ...
While damage detection corresponds to making a 'global' decision on whether or not any parameter changes have occurred, damage localization ...
Damage Detection and Localization in Structures: A Statistics Based ...
The use of densely clustered sensor networks provides promising applications in the analysis of structural components and identification of local damage. The ...
Damage Detection and Localization Using Autocorrelation ...
In vibration-based structural health monitoring, data analysis for damage detection can be done in the time domain or in the feature domain.
Damage Detection and Localization under Variable Environmental ...
The stored and reconstructed signals are used for damage detection and localization in the time domain using spatial or spatiotemporal ...
Damage Detection and Localization in Structures - Shamim N. Pakzad
Damage Detection and Localization in Structures: A Statistics Based ... structural response data ui and uj at time instance tk with εij and βij ...
Localizability of damage with statistical tests and sensitivity-based ...
Damage localization is more challenging than damage detection, because changes in features are mapped onto structural parameter changes in FE ...
Surface Damage Detection and Localization for Bridge Visual ...
Currently, computer vision and deep learning-based surface damage detection methods can achieve classification and localization of damages at ...
Damage detection and localization from linear and nonlinear global ...
In this study, different alternatives to detect and localize damage from linear and nonlinear vibration responses were investigated.
Damage localization by statistical evaluation of signal ... - NASA ADS
lieir derivatives are utilized extensively for structural damage identification. Typically, more or less advanced mathematical methods are implemented to ...
Damage Detection and Localization Using Autocorrelation ...
Request PDF | Damage Detection and Localization Using Autocorrelation Functions with Spatiotemporal Correlation | In vibration-based structural health ...
Damage Detection and Localization Methodology - ProQuest
The proposed methodology aims to identify subtle changes in local strain distribution indicative of damage. The study explores the influence of various factors ...
Detection and Localization of Multiple Damages through Entropy in ...
The use of Wiener Entropy for the detection, localization, and severity assessment of a multi-damaged structure is presented.
Damage detection and localization for continuous static monitoring ...
Damage detection and localization for ... Hotelling H 1933a Analysis of a complex of statistical variables into principal components J.
Compressive sensing based damage detection and localization
Keywords: Big data; spatial compression; metaheuristics; optimization; statistical hypothesis testing; iterative methods. INTRODUCTION. As the technology of ...
Towards Multiclass Damage Detection and Localization using ...
In addition to damage detection, ARX models were further used for sensor fault localization [87]. Several statistical features such as mean, ...
Mechanics-informed autoencoder enables automated detection and ...
Damage detection is achieved by comparing the reconstruction error of the instantaneous sensor data in time windows with that of the undamaged ...
sem.org-IMAC-XVI-16th-Int-161102-Statistical-Methodology-Optimal ...
... STATISTICAL. METHODOLOGY. FOR. OPTIMAL. SENSOR. LOCATIONS. FOR. DAMAGE. DETECTION. IN. STRUCTURES. James ... damage. detec-. tion. and. localization. The. quality.
Damage Detection and Localization in the Space of the Observed ...
The study is focused on methods which work in the space of the observed variables, where the global information measures can be used to detect the damage. In ...