A missing sensor measurement data reconstruction framework powered by multi-task Gaussian process regression for dam structural health monitoring systems

Measurement(2021)

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摘要
•The proposed framework solves missing data problems in various items.•mGPR can fully utilize the correlation among various sensors.•Two actual sensor missing data scenarios are used to validate the effectiveness.•mGPR shows strong capability in the missing data scenario at the beginning or end.
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关键词
Structural health monitoring,Dam safety control,Bayesian modeling,Spatiotemporal correlation,Machine learning,Gaussian process regression
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