Gaussian processes for shock test emulation

Certifying performance of mechanical components with experimental tests is time consuming and expensive, which motivates the development of efficient approaches for predicting the outcomes from such testing. We propose two methods based on Gaussian processes (GP) to estimate the probability that new...

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Veröffentlicht in:	Reliability engineering & system safety 2021-08, Vol.212, p.107624, Article 107624
Hauptverfasser:	Bonneville, Christophe, Jenquin, Maxwell, Londono, Juan, Kelly, Alex, Cipolla, Jeffrey, Earls, Christopher
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Bernoulli trials Certification Datasets Gaussian process Kernels Learning algorithms Machine learning Mechanical components Mechanical systems Reliability engineering Ships Shock tests Statistical analysis Structural dynamics Training Uncertainty quantification Virtual shock testing
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