Document
About this Digital Document
This thesis presents a revised space-time autoregressive (ST-AR) model usingmultiple neighboring orders for damage detection and localization with dynamic sensornetwork data (DSN), where ST-AR residuals were used as damage sensitive feature. Animportant r
Full Title
Space-Time Autoregressive Models For Damage Detection Using Dynamic Sensor Network Data
Member of
Contributor(s)
Creator: Castro de Aguiar, Patricia
Thesis advisor: Pakzad, Shamim N.
Publisher
Lehigh University
Date Issued
2020-05
Language
English
Type
Genre
Form
electronic documents
Department name
Structural Engineering
Digital Format
electronic documents
Media type
Creator role
Graduate Student
Keywords
Castro de Aguiar, . P. (2020). Space-Time Autoregressive Models For Damage Detection Using Dynamic Sensor Network Data (1–). https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/space-time
Castro de Aguiar, Patricia. 2020. “Space-Time Autoregressive Models For Damage Detection Using Dynamic Sensor Network Data”. https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/space-time.
Castro de Aguiar, Patricia. Space-Time Autoregressive Models For Damage Detection Using Dynamic Sensor Network Data. May 2020, https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/space-time.
