Pairwise graphical models for structural health monitoring with dense sensor arrays

Mechanical Systems and Signal Processing(2017)

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摘要
•Pairwise graphical models are used for structural health monitoring (SHM).•A mutual information based algorithm is proposed for graph parameter learning.•High speed video camera is used to extract the displacement field of a test structure.•Loopy belief propagation (LBP) may not be a robust inference method for SHM.•MCMC provides the most accurate results compared to LBP and node-wise data analysis.
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关键词
Structural health monitoring,Damage detection,Graphical models,Ising model,Pairwise graphical model,Sensor network,Video camera,Loopy belief propagation,Gibbs sampling
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