Machine learning for failure analysis: a mathematical modelling perspective

DOI10.1007/978-3-031-04496-0_12zbMath1502.74110OpenAlexW4312327732MaRDI QIDQ2080563

Meltem Gölgeli, Judith Pérez-Velázquez, Carlos Alfonso Ruiz Guido

Publication date: 9 October 2022

Full work available at URL: https://doi.org/10.1007/978-3-031-04496-0_12

zbMATH Keywords

Bayesian networksurvival modelanomalous behaviour detectiondevice reliability predictionfailure mode classificationgenerative neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Brittle fracture (74R10) Anelastic fracture and damage (74R20) Research exposition (monographs, survey articles) pertaining to mechanics of deformable solids (74-02) Numerical and other methods in solid mechanics (74S99) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)

Uses Software

• ISLR

Cites Work

• Random survival forests
• An Introduction to Statistical Learning
• Understanding Machine Learning
• Unnamed Item

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