Cost–Benefit Optimization of Structural Health Monitoring Sensor Networks

Cost–Benefit Optimization of Structural Health Monitoring Sensor Networks

Structural health monitoring (SHM) allows the acquisition of information on the structural integrity of any mechanical system by processing data, measured through a set of sensors, in order to estimate relevant mechanical parameters and indicators of performance. Herein we present a method to perfor...

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Bibliographic Details
Main Authors: Giovanni Capellari, Eleni Chatzi, Stefano Mariani
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
structural health monitoring
Bayesian inference
cost–benefit analysis
stochastic optimization
information theory
Bayesian experimental design
surrogate modeling
model order reduction
Online Access:http://www.mdpi.com/1424-8220/18/7/2174

Internet

http://www.mdpi.com/1424-8220/18/7/2174

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