Yan Shi

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Network reliability analysis through survival signature and machine learning techniques.
Reliab. Eng. Syst. Saf.
Yan Shi, Jasper Behrensdorf, Jiayan Zhou, Yue Hu, Matteo Broggi, Michael Beer
2024 J jnl
Physics-informed neural network classification framework for reliability analysis.
Expert Syst. Appl.
Yan Shi, Michael Beer
2024 J jnl
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree.
CoRR
Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
2024 J jnl
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree.
Reliab. Eng. Syst. Saf.
Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer
2023 J jnl
Condition-Based Maintenance for Performance Degradation Under Nonperiodic Unreliable Inspections.
IEEE Trans. Artif. Intell.
Yang Li, Yan Shi, Zhiyao Zhang, Ningyun Lu, Xiuli Wang, Enrico Zio
2022 J jnl
A new preventive maintenance strategy optimization model considering lifecycle safety.
Reliab. Eng. Syst. Saf.
Yan Shi, Zhenzhou Lu, Hong-Zhong Huang, Yu Liu, Yanfeng Li, Enrico Zio, Yicheng Zhou
2022 — conf
Physical design of fusion based on generative adversarial networks.
ACAI
Wenbin Xiong, Pan Liu, Zhangchun Tang, Yan Shi, Chencheng Liu, Fanyu Qu, Gaoyang Liu, Qiang Gao
2020 J jnl
A novel learning function based on Kriging for reliability analysis.
Reliab. Eng. Syst. Saf.
Yan Shi, Zhenzhou Lu, Ruyang He, Yicheng Zhou, Siyu Chen
2020 J jnl
Bayesian optimum accelerated life test plans based on quantile regression.
Commun. Stat. Simul. Comput.
Yicheng Zhou, Zhenzhou Lu, Yan Shi, Kai Cheng
2019 J jnl
Global Sensitivity Analysis of the Failure Probability Upper Bound to Random and Fuzzy Inputs.
Int. J. Fuzzy Syst.
Yan Shi, Zhenzhou Lu, Lufeng Zhao
2019 J jnl
Time-dependent failure possibility analysis under consideration of fuzzy uncertainty.
Fuzzy Sets Syst.
Chongqing Fan, Zhenzhou Lu, Yan Shi
2018 J jnl
Sensitivity analysis of correlated outputs and its application to a dynamic model.
Environ. Model. Softw.
Liyang Xu, Zhenzhou Lu, Luyi Li, Yan Shi, Gang Zhao