Computational adaptive multivariable degradation model for improving the remaining useful life prediction in industrial systems

DOI10.1007/s40314-021-01752-8OpenAlexW4206648090MaRDI QIDQ2115017

Marcos Quiñones-Grueiro, Adriana Villalón-Falcón, Alberto Prieto-Moreno, Orestes Llanes Santiago

Publication date: 15 March 2022

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-021-01752-8

zbMATH Keywords

adaptivesupport vector data descriptionmultivariableindustrial systemspredictive maintenanceexponential degradation modelremaining useful life prediction

Mathematics Subject Classification ID

Computer science (68-XX) Systems theory; control (93-XX)

Cites Work

• Support vector data description
• Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes
• A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problems
• A Reflective Newton Method for Minimizing a Quadratic Function Subject to Bounds on Some of the Variables
• An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds

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