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A Bayesian experimental design approach to structural health monitoring

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TLDR
This paper outlines how an SHM practitioner can construct the proper performance function by casting the entire design problem into a framework of Bayesian experimental design.
Abstract
Optimal system design for SHM involves two primarily challenges The first is the derivation of a proper performance function for a given system design The second is the development of an efficient optimization algorithm for choosing a design that maximizes, or nearly maximizes the performance function In this paper we will outline how an SHM practitioner can construct the proper performance function by casting the entire design problem into a framework of Bayesian experimental design The approach demonstrates how the design problem necessarily ties together all steps of the SHM process

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Journal ArticleDOI

Structural health monitoring: Closing the gap between research and industrial deployment:

TL;DR: Given better focused research and development considering the key factors identified here, structural health monitoring has the potential to follow the path of rotating machine condition monitoring and become a widely deployed technology.
Journal ArticleDOI

Transducer placement optimisation scheme for a delay and sum damage detection algorithm

TL;DR: In this paper, a transducer placement scheme based on wave propagation is proposed, which enhances damage localisation by determining a coverage index map and utilising a genetic algorithm to determine an optimal transducers network, which can also minimize the impact of faulty transducers, incorporate the effect of stiffeners and different damage types.
Journal ArticleDOI

A variational Bayesian neural network for structural health monitoring and cost-informed decision-making in miter gates:

TL;DR: A Bayesian neural network using variational inference is applied to learn a damage feature from a high-fidelity finite element model and an example of this approach applied to miter gates is presented.
Dissertation

Design and validation of a structural health monitoring system for aeronautical structures.

TL;DR: In this paper, the authors used an active piezoelectric system to develop statistical data driven approaches for the detection, localization and classification of damages in structures, which are tested and validated using different structures, in particular an aircraft turbine blade, aircraft wing skeleton, an aircraft fuselage, some aluminium plates and some composite matarials plates.
Journal ArticleDOI

Towards Cyber-Physical Systems Design for Structural Health Monitoring: Hurdles and Opportunities

TL;DR: This article provides a comprehensive investigation of WSN-based SHM applications with an emphasis on networking perspectives to get insights into a cyber-physical system (CPS) design, and proposes a series of design guidelines for a potential CPS.
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