Filtration of Diagnostic Data for Retrospective Analysis in Health Monitoring Systems of Engineering Structures

Author(s):  
Dmitry V. Efanov ◽  
Valeriy Myachin ◽  
German Osadchy ◽  
Marina Zueva
Author(s):  
Ramdev Kanapady ◽  
Aleksandar Lazarevic

The process of implementing and maintaining a structural health monitoring system consists of operational evaluation, data processing, damage detection, and life prediction of structures. This process involves the observation of a structure over a period of time using continuous or periodic monitoring of spaced measurements, the extraction of features from these measurements, and the analysis of these features to determine the current state of health of the system. Such health monitoring systems are common for bridge structures, and many examples are citied in (Maalej et al., 2002).


2017 ◽  
Vol 64 (3) ◽  
pp. 621-628 ◽  
Author(s):  
Haik Kalantarian ◽  
Costas Sideris ◽  
Bobak Mortazavi ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh

Geosciences ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 406
Author(s):  
Kamiński ◽  
Makowska

The article discusses the issue of hydrostatic leveling. Its application is presented in structural health monitoring systems in order to determine vertical displacements of controlled points. Moreover, the article includes a complete computation scheme that utilizes the estimation from observation differences, allowing the elimination of the influence of individual sensors’ systematic errors. The authors suggest two concepts of processing the measurement results depending on the sensors’ connection method. Additionally, the second concept is extended by the elements allowing the prediction of the displacements by means of Kalman filtering.


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