A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
Methodology developments in sensor placement for health monitoring of civil infrastructures
TH Yi, HN Li - International Journal of Distributed Sensor …, 2012 - journals.sagepub.com
Optimal sensor placement (OSP) technique plays a key role in the structural health
monitoring (SHM) of large-scale civil infrastructures. This paper outlines an overview of …
monitoring (SHM) of large-scale civil infrastructures. This paper outlines an overview of …
Sensor selection via convex optimization
S Joshi, S Boyd - IEEE Transactions on Signal Processing, 2008 - ieeexplore.ieee.org
We consider the problem of choosing a set of k sensor measurements, from a set of m
possible or potential sensor measurements, that minimizes the error in estimating some …
possible or potential sensor measurements, that minimizes the error in estimating some …
Sparsity-promoting sensor selection for non-linear measurement models
The problem of choosing the best subset of sensors that guarantees a certain estimation
performance is referred to as sensor selection. In this paper, we focus on observations that …
performance is referred to as sensor selection. In this paper, we focus on observations that …
[LIVRE][B] The practical handbook of genetic algorithms: applications
LD Chambers - 2000 - taylorfrancis.com
Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …
edition precipitated this completely revised, thoroughly updated second edition of The …
Optimal sensor placement methodology for parametric identification of structural systems
C Papadimitriou - Journal of sound and vibration, 2004 - Elsevier
Theoretical and computational issues arising in the selection of the optimal sensor
configuration for parameter estimation in structural dynamics are addressed. The information …
configuration for parameter estimation in structural dynamics are addressed. The information …
Optimal sensor placement for fault detection
K Worden, AP Burrows - Engineering structures, 2001 - Elsevier
This paper describes an approach to fault detection and classification using neural networks
and methods of combinatorial optimisation. Given the existence of an effective fault detection …
and methods of combinatorial optimisation. Given the existence of an effective fault detection …
The effect of prediction error correlation on optimal sensor placement in structural dynamics
The problem of estimating the optimal sensor locations for parameter estimation in structural
dynamics is re-visited. The effect of spatially correlated prediction errors on the optimal …
dynamics is re-visited. The effect of spatially correlated prediction errors on the optimal …
Optimal sensor placement in structural health monitoring using discrete optimization
The objective of optimal sensor placement (OSP) is to obtain a sensor layout that gives as
much information of the dynamic system as possible in structural health monitoring (SHM) …
much information of the dynamic system as possible in structural health monitoring (SHM) …
Active surveillance via group sparse Bayesian learning
The key to the effective control of a diffusion system lies in how accurately we could predict
its unfolding dynamics based on the observation of its current state. However, in the real …
its unfolding dynamics based on the observation of its current state. However, in the real …