Yanjie Shi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yanjie Shi has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Zaizai Yan
College of Science, Inner Mongolia University of Technology, Hohhot 010051, China
2 shared publications - Jiacheng Zhong
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, China
1 shared publication - Jianwen Bao
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
1 shared publication - Junyi Wang
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
1 shared publication - Mingyi Yang
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
1 shared publication Xiuyun Peng
1 shared publication
Latest Publications
- 2 December 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Reliability
- Vol. 75 (00189529) , 145-156
Reliability Analysis of Weighted Degradation $(n_{1}, n_{2}, \ldots, n_{m})$-Out-of-$n$ System With Multitypes of ComponentsThe reliability of a weighted degradation $(n_{1}, n_{2}, \ldots, n_{m})$-out-of-$n$ system consisting of multiple types of components is investigated in this article. The system comprises $m$ types of components, with the $i$th type ($i=1,2,\ldots,m$) containing $n_{i}$ components, and the total number of components is given by $n=\sum _{i=1}^{m}n_{i}$. Each component contributes differently to the system through an assigned weight, and the system is considered operational if the total weight of all functioning components meets or exceeds a predefined threshold $k$. Component performance is assumed to degrade over time, and failure occurs when the degradation level surpasses a specified failure threshold. Dependence among components of the same type is modeled using Copula functions. A system reliability function is developed based on the survival signature method, incorporating both the structural characteristics of the system and the survival probabilities of different types of components. A two-stage Bayesian approach is employed for parameter and reliability estimation, implemented via the Hamiltonian Monte Carlo algorithm. Numerical simulations are conducted to demonstrate the accuracy and robustness of the proposed method, and its applicability and effectiveness are further illustrated using real data.
- 2 December 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Reliability
- Vol. 75 (00189529) , 145-156
Reliability Analysis of Weighted Degradation $(n_{1}, n_{2}, \ldots, n_{m})$-Out-of-$n$ System With Multitypes of ComponentsThe reliability of a weighted degradation $(n_{1}, n_{2}, \ldots, n_{m})$-out-of-$n$ system consisting of multiple types of components is investigated in this article. The system comprises $m$ types of components, with the $i$th type ($i=1,2,\ldots,m$) containing $n_{i}$ components, and the total number of components is given by $n=\sum _{i=1}^{m}n_{i}$. Each component contributes differently to the system through an assigned weight, and the system is considered operational if the total weight of all functioning components meets or exceeds a predefined threshold $k$. Component performance is assumed to degrade over time, and failure occurs when the degradation level surpasses a specified failure threshold. Dependence among components of the same type is modeled using Copula functions. A system reliability function is developed based on the survival signature method, incorporating both the structural characteristics of the system and the survival probabilities of different types of components. A two-stage Bayesian approach is employed for parameter and reliability estimation, implemented via the Hamiltonian Monte Carlo algorithm. Numerical simulations are conducted to demonstrate the accuracy and robustness of the proposed method, and its applicability and effectiveness are further illustrated using real data.
- Open Access
A New Single-Step Bolt Tightening Method for Multi-Bolt Flange Structures
Single-step tightening is simple and fast compared to multi-step tightening, and it is therefore frequently used during the tightening of bolts in flange structures. However, single-step tightening to maintain uniformity is more difficult to achieve. To address this problem, existing methods such as the Elastic Interaction Coefficient Method (EICM) and Tetraparametric Assembly Method (TAM) have been investigated for load uniformity in single-step tightening. In order to improve the computational efficiency and accuracy of the traditional methods, a new single-step tightening method is proposed in this paper. This method can realize the design of the initial preload force simply by measuring the change in bolt load in a specific sequence. It is verified by numerical simulation that this method can realize the uniform distribution of bolt load. In addition, this paper will provide suggestions for the optimal tightening sequence for the single-step tightening method.
Open AccessA New Single-Step Bolt Tightening Method for Multi-Bolt Flange Structures
Single-step tightening is simple and fast compared to multi-step tightening, and it is therefore frequently used during the tightening of bolts in flange structures. However, single-step tightening to maintain uniformity is more difficult to achieve. To address this problem, existing methods such as the Elastic Interaction Coefficient Method (EICM) and Tetraparametric Assembly Method (TAM) have been investigated for load uniformity in single-step tightening. In order to improve the computational efficiency and accuracy of the traditional methods, a new single-step tightening method is proposed in this paper. This method can realize the design of the initial preload force simply by measuring the change in bolt load in a specific sequence. It is verified by numerical simulation that this method can realize the uniform distribution of bolt load. In addition, this paper will provide suggestions for the optimal tightening sequence for the single-step tightening method.
- 19 December 2024
- Published by Elsevier in Journal of Computational and Applied Mathematics
- Vol. 461
Reliability analysis of degradation system under dependent competing failures- 19 December 2024
- Published by Elsevier in Journal of Computational and Applied Mathematics
- Vol. 461
Reliability analysis of degradation system under dependent competing failures