Surrogate-based sequential Bayesian experimental design using non-stationary Gaussian Processes
Inferring arbitrary quantities of interest (QoI) using limited computational or, in realistic
scenarios, financial budgets, is a challenging problem that requires sophisticated strategies …
scenarios, financial budgets, is a challenging problem that requires sophisticated strategies …
A sparse sensor placement strategy based on information entropy and data reconstruction for ocean monitoring
Sparse sensor placement strategies are applied to reconstruct a region's full-state data
conditioned to a limited number of sensors; particularly, crucial to ocean monitoring systems …
conditioned to a limited number of sensors; particularly, crucial to ocean monitoring systems …
Optimal sensor placement for digital twin based on mutual information and correlation with multi-fidelity data
This paper proposes an optimal sensor placement algorithm based on mutual information
and correlation, which is particularly suitable for solving sensor placement problems in …
and correlation, which is particularly suitable for solving sensor placement problems in …
An enhanced sequential sensor optimization scheme and its application in the system identification of a rail-sleeper-ballast system
HF Lam, MO Adeagbo - Mechanical Systems and Signal Processing, 2022 - Elsevier
The problem of optimal sensor placement for system identification and damage detection is
addressed by the development of a robust method based on Bayesian theory. Information …
addressed by the development of a robust method based on Bayesian theory. Information …
[PDF][PDF] A Robust Sparse Sensor Placement Strategy Based on Indicators of Noise for Ocean Monitoring
A well-performing data-driven sparse sensor deployment strategy is critical for marine
monitoring systems, as it enables the optimal reconstruction of marine physical quantities …
monitoring systems, as it enables the optimal reconstruction of marine physical quantities …
Leveraging Optimal Sparse Sensor Placement to Aggregate a Network of Digital Twins for Nuclear Subsystems.
Nuclear power plants (NPPs) require continuous monitoring of various systems, structures,
and components to ensure safe and efficient operations. The critical safety testing of new …
and components to ensure safe and efficient operations. The critical safety testing of new …
Robust sensor selection based on maximum correntropy criterion for ocean data reconstruction
Selecting an optimal subset of sensors that can accurately reconstruct the full state of the
ocean can reduce the cost of the monitoring system and improve monitoring efficiency …
ocean can reduce the cost of the monitoring system and improve monitoring efficiency …
Sequential optimal positioning of mobile sensors using mutual information
Source localization, such as detecting a nuclear source in an urban area or ascertaining the
origin of a chemical plume, is generally regarded as a well‐documented inverse problem; …
origin of a chemical plume, is generally regarded as a well‐documented inverse problem; …
[图书][B] Simulation-based Bayesian experimental design using mutual information
IJ Michaud - 2019 - search.proquest.com
Bayesian experimental design addresses the problem of optimal experimental design for
nonlinear statistical models by constructing robust designs with respect to prior uncertainties …
nonlinear statistical models by constructing robust designs with respect to prior uncertainties …
Optimal time interval for investigating prior information in network sensor location problem
C Xie, M Shao - Transportation Research Record, 2021 - journals.sagepub.com
Based on various types of prior information, the network sensor location problem (NSLP)
optimizes the locations of sensors in a network, providing comprehensive traffic flow …
optimizes the locations of sensors in a network, providing comprehensive traffic flow …