On a meta-learning population-based approach to damage prognosis-Reference-Cited by-同舟云学术

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On a meta-learning population-based approach to damage prognosis

Published:2024-03 Issue: Volume:209 Page:111119
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Tsialiamanis G.^ORCID,Sbarufatti C.^ORCID,Dervilis N.,Worden K.^ORCID

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Reference47 articles.

1. Foundations of population-based SHM, Part I: Homogeneous populations and forms;Bull;Mech. Syst. Signal Process.,2021

2. Foundations of population-based SHM, Part II: Heterogeneous populations–Graphs, networks, and communities;Gosliga;Mech. Syst. Signal Process.,2021

3. Foundations of population-based SHM, Part III: Heterogeneous populations–mapping and transfer;Gardner;Mech. Syst. Signal Process.,2021

4. Foundations of population-based SHM, Part IV: The geometry of spaces of structures and their feature spaces;Tsialiamanis;Mech. Syst. Signal Process.,2021

5. Foundations of population-based SHM, Part V: Networks and databases;Brennan;Mech. Syst. Signal Process.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On decision-theoretic model assessment for structural deterioration monitoring;Mechanical Systems and Signal Processing;2025-01

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