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Jing Yuan

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

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44

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0

Scholarly Papers (3)

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1.

Prior information-aided three-dimensional fatigue delamination prognostics in composites

Number of pages: 21 Posted: 18 Oct 2025 Last Revised: 01 Mar 2026
Jing Yuan, Tianyu Wang, Xi Vincent Wang, Lihui Wang, Jianmin Gao, Manuel Ruano Chiachio, Claudio Sbarufatti and Tianzhi Li
affiliation not provided to SSRN, Royal Institute of Technology (KTH) - Stockholm Exergi, Royal Institute of Technology (KTH), KTH Royal Institute of Technology, Xi'an Jiaotong University (XJTU), University of Granada, Polytechnic of Milan and Royal Institute of Technology (KTH) - Stockholm Exergi
Downloads 37 (1,236,159)

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Structural health monitoringCompositesFatigue damage3D delamination prognosticsDeep learning

2.

A Motif-Guided Framework for Selective Maintenance Optimization Using Interpretable RUL Prognostics

Number of pages: 27 Posted: 19 May 2026
Dingyu Cao, Jing Yuan, Rongxi Wang, Zhenhu Zhang, Zhen Wang, Zhen Wang, Yufan Li and Jianmin Gao
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Xi'an Jiaotong University (XJTU)
Downloads 5 (1,575,921)

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Remaining useful life prediction, Interpretable prognostics, Selective maintenance optimization, Degradation motifs, Sample-driven mission reliability

3.

Prior information-aided three-dimensional fatigue delamination shape prognostics in composites​

Number of pages: 24 Posted: 25 Mar 2026
Jing Yuan, Tianyu Wang, Xi Vincent Wang, Lihui Wang, Jianmin Gao, Manuel Ruano Chiachio, Claudio Sbarufatti and Tianzhi Li
affiliation not provided to SSRN, Royal Institute of Technology (KTH) - Stockholm Exergi, Royal Institute of Technology (KTH), KTH Royal Institute of Technology, Xi'an Jiaotong University (XJTU), University of Granada, Polytechnic of Milan and Royal Institute of Technology (KTH) - Stockholm Exergi
Downloads 2 (1,584,314)

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Structural health monitoringCompositesFatigue damage3D delamination prognosticsDeep learning