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ORCIDYan Shi 0014
Person information
- affiliation: Leibniz University of Hannover, Institute for Risk and Reliability, Hannover, Germany
- affiliation: Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
Other persons with the same name
- Yan Shi — disambiguation page
- Yan Shi 0001
![[0000-0001-5030-6225]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5030-6225")
— Xidian University, Institute of Information Science, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 4 more) - Yan Shi 0002 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yan Shi 0003 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Yan Shi 0004 — Yanshan University, College of Mechanical Engineering, Robotics Research Center, Qinhuangdao, China
- Yan Shi 0005 — Qingdao Agricultural University, College of Engine and Electronic Engineering / Foodstuff Science and Engineering College, China
- Yan Shi 0006 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
- Yan Shi 0007 — Central South University, Department of Geo-Informatics, Changsha, China
- Yan Shi 0008 — Tokai University, Graduate School of Science and Technology, Japan (and 1 more)
- Yan Shi 0009 — University of Wisconsin-Platteville, Department of Computer Science and Software Engineering, Platteville, WI, USA (and 1 more)
- Yan Shi 0010 — Northeast Electric Power University, School of Automation Engineering, China
- Yan Shi 0011 — JMA Wireless, Allen, TX, USA (and 1 more)
- Yan Shi 0012 — Beijing Institute of Technology, Key Laboratory of Fractional Signals and Systems, Beijing, China (and 1 more)
- Yan Shi 0013 — Dalian University of Technology, Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Dalian, China (and 1 more)
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2020 – today
- 2024
[j9]Yan Shi, Jasper Behrensdorf, Jiayan Zhou, Yue Hu, Matteo Broggi, Michael Beer:
Network reliability analysis through survival signature and machine learning techniques. Reliab. Eng. Syst. Saf. 242: 109806 (2024)- [j8]Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer:
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree. Reliab. Eng. Syst. Saf. 250: 110309 (2024) - [i1]Chen Ding, Pengfei Wei, Yan Shi, Jinxing Liu, Matteo Broggi, Michael Beer:
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree. CoRR abs/2407.11053 (2024) - 2023
- [j7]Yang Li, Yan Shi, Zhiyao Zhang, Ningyun Lu, Xiuli Wang, Enrico Zio:
Condition-Based Maintenance for Performance Degradation Under Nonperiodic Unreliable Inspections. IEEE Trans. Artif. Intell. 4(4): 709-721 (2023) - 2022
- [j6]Yan Shi, Zhenzhou Lu, Hong-Zhong Huang, Yu Liu, Yanfeng Li, Enrico Zio, Yicheng Zhou:
A new preventive maintenance strategy optimization model considering lifecycle safety. Reliab. Eng. Syst. Saf. 221: 108325 (2022) - [c1]Wenbin Xiong, Pan Liu, Zhangchun Tang, Yan Shi, Chencheng Liu, Fanyu Qu, Gaoyang Liu, Qiang Gao:
Physical design of fusion based on generative adversarial networks. ACAI 2022: 100:1-100:5 - 2020
- [j5]Yicheng Zhou, Zhenzhou Lu, Yan Shi, Kai Cheng:
Bayesian optimum accelerated life test plans based on quantile regression. Commun. Stat. Simul. Comput. 49(9): 2402-2418 (2020) - [j4]Yan Shi, Zhenzhou Lu, Ruyang He, Yicheng Zhou, Siyu Chen:
A novel learning function based on Kriging for reliability analysis. Reliab. Eng. Syst. Saf. 198: 106857 (2020)
2010 – 2019
- 2019
- [j3]Chongqing Fan, Zhenzhou Lu, Yan Shi:
Time-dependent failure possibility analysis under consideration of fuzzy uncertainty. Fuzzy Sets Syst. 367: 19-35 (2019) - [j2]Yan Shi, Zhenzhou Lu, Lufeng Zhao:
Global Sensitivity Analysis of the Failure Probability Upper Bound to Random and Fuzzy Inputs. Int. J. Fuzzy Syst. 21(2): 454-467 (2019) - 2018
- [j1]Liyang Xu, Zhenzhou Lu, Luyi Li, Yan Shi, Gang Zhao:
Sensitivity analysis of correlated outputs and its application to a dynamic model. Environ. Model. Softw. 105: 39-53 (2018)
Coauthor Index
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