Article
Engineering, Industrial
Mohammad N. Juybari, Ali Zeinal Hamadani, Mostafa Abouei Ardakan
Summary: The mixed redundancy strategy, a powerful technique to improve system reliability, is analyzed in a 1-out-of-n:G repairable system with warm-standby components for the first time. The system's behavior is modeled using a Markov chain approach and performance measures are derived. An age-dependent maintenance strategy is applied and a cost optimization problem is formulated to determine the optimal system replacement time. Numerical examples are presented to validate the method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Xian Zhao, Xiaofei Chai, Jinglei Sun, Qingan Qiu
Summary: This paper introduces a joint optimization model that combines component switching and mission abort policies to balance the trade-off between mission success probability and system survivability, minimizing total economic loss. A numerical study on a virtual machine system is conducted to demonstrate the effectiveness of the model.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Linhan Guo, Ruiyang Li, Yu Wang, Jun Yang, Yu Liu, Yiming Chen, Jianguo Zhang
Summary: This paper proposes a new availability model focusing on a multi-component series system considering suspended animation (SA) rules. Continuous-time Markov chains (CTMC) are used to avoid state explosion, and an effective algorithm for SA state transition rates is constructed. The relationships between state probabilities are used to derive metrics on reliability and availability. The model accuracy and algorithm efficiency are verified using actual engineering data and simulation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: This paper advances the state of the art in reliability analysis and optimization of warm standby systems by considering the practical storage component. It proposes a numerical algorithm to evaluate the reliability of a 1-out-of-n warm standby system with product storage and solves the optimal element activation sequence problem to maximize mission success probability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Hardware & Architecture
Tangfan Xiahou, Zhiguo Zeng, Yu Liu, Hong-Zhong Huang
Summary: This study introduces a new approach for quantifying and visualizing the conflicts among experts in multisource imprecise information (MSII), effectively addressing the uncertainties in expert assessments.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Engineering, Industrial
Gregory Levitin, Maxim Finkelstein, Yuanshun Dai
Summary: The paper discusses homogeneous warm-standby systems operating in a random environment, using preventive replacement and element reuse to improve mission success probability. An algorithm for evaluating mission success probability with this strategy is proposed, along with a solution to the problem of determining the optimal number of shocks triggering element replacement.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Hardware & Architecture
Danilo Clemente, Paulo Pereira, Jamilson Dantas, Paulo Maciel
Summary: This paper proposes a method for evaluating the availability of a cloud computing system, using hierarchical models and sensitivity analysis to improve system availability. The accuracy and utility of the method are demonstrated through a case study.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Hardware & Architecture
Lechang Yang, Chenxing Wang, Chunyan Ling, Min Xie
Summary: This article proposes a survival signature-based reliability framework for an imprecise multistate system (IMSS) to address the challenges of reliability evaluation for complex systems with imprecise parameters. The framework defines the survival signature and calculates the multistate survival functions based on the combination of states of composing elements. A simulation method is developed for probability estimation when imprecision is involved. An approximate Bayesian computation method with a Jensen-Shannon divergence-based kernel is developed to perform stochastic model updating and calibrate imprecise parameters. The proposed framework is validated with a numerical case of a typical bridge system and a real application example.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Computer Science, Interdisciplinary Applications
Senyang Bai, Xiang Jia, Zhijun Cheng, Bo Guo, Qian Zhao, Xiaonan Zhang
Summary: This paper studies the operation optimization model of warm standby systems under multiple active switching. By introducing virtual age theory and genetic algorithm, the reliability and mean time-to-failure of the system are analyzed, and a numerical example is provided for verification and sensitivity analysis.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Yi Ding, Yishuang Hu, Yu Lin, Zhiguo Zeng
Summary: This article proposes a reliability evaluation framework for performance conversion-based multiperformance multistate systems (MPMSS), focusing on the performance conversion process. Performance conversion structure functions are introduced to derive system performance conversion capability, and two reliability evaluation methods considering the performance conversion process are presented.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Engineering, Multidisciplinary
Senyang Bai, Xiang Jia, Zhijun Cheng, Bo Guo, Qian Zhao
Summary: This article introduces an operation optimization model for a satellite gyroscope standby system, considering the periodic switching strategy and degradation process. By analyzing the degradation process of the units and using optimization algorithms, the reliability and MTTF of the system are obtained, and the optimal periodic switching interval is determined.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Engineering, Industrial
Dong-Yuh Yang, Chia-Huang Wu
Summary: This study evaluates the availability and reliability of a repairable system with warm standby components and switching failure under a Markovian environment. A numerical approach based on Runge-Kutta method is used to solve the differential equations, and sensitivity analysis is conducted on various system parameters.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Hardware & Architecture
Ziwei Chen, Yan Xia, Zhe Zhang, Chao Jiang
Summary: This article proposes a high-precision reliable life modeling method for the heat dissipation subsystem (HDS) of a space reactor. By mapping the universal generation function model to a Bayesian network, the method enables precise reliability evaluation and importance analysis. It can accurately describe the features of multilayer cooperative parallel branches, and has engineering application value.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Mathematics
Kiril Tenekedjiev, Simon Cooley, Boyan Mednikarov, Guixin Fan, Natalia Nikolova
Summary: This study analyzes the influence of repair on a two-component warm-standby system with switching and back-switching failures. Four types of system failures are investigated, and the reliability behavior is studied under three different aging assumptions for the backup component. Analytical, numerical, and simulational methods are used to identify the reliability characteristics of the system, with varying results based on different aging assumptions and failure distributions.
Article
Engineering, Industrial
Amisha Khati, S. B. Singh
Summary: This paper investigates the interval-valued availability of a standby redundant system with imperfect switching, taking into account uncertainty in the probability of successful operation of the switch. The system undergoes periodic inspections and is vulnerable to multiple failure modes. Expressions for upper and lower bounds of the model's point and long-run availability are derived, and a sensitivity analysis is conducted to assess the impact of inspection time on the system's availability. The derived theorems are validated using a numerical example of a combi-boiler standby system with an imperfect switch.
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
(2023)
Article
Engineering, Industrial
Hongyan Dui, Xuan Wei, Liudong Xing, Liwei Chen
Summary: This paper proposes a maintenance metric for improving the performance of an irrigation network and develops an optimum maintenance efficiency model. A case study of an irrigation network with 27 nodes is used to verify the practicality and effectiveness of the proposed method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: This study addresses the optimal standby mode transfer problem considering resource-constrained system elements. A new event transition-based algorithm is proposed to evaluate the expected mission downtime (EMD) of the considered standby system subject to mode transfers. Experimental results show that the EMD decreases with the increase of initial available resource, while it increases with the increase of resource consumption or stress level during mode transfers.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: Motivated by real-world applications, this paper presents a model for a heterogeneous standby system with n components, which can be allocated to different positions and are subject to random shocks. The system's mission success probability depends on the allocation and activation sequence of components. The paper proposes a joint optimal allocation and activation sequence (AAS) problem and presents a new numerical algorithm and genetic algorithm for solving it. A case study of a multi-UAV standby system is provided to illustrate the proposed model and evaluate its solutions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Chemistry, Multidisciplinary
Chencheng Zhou, Liudong Xing, Qisi Liu, Honggang Wang
Summary: Selfish mining is a malicious attack in the blockchain-based bitcoin system, in which attackers collect unfair rewards by withholding blocks. Previous research on selfish mining mainly focused on cryptography design and detection of malicious behavior using different approaches. This paper proposes two network-wide defensive strategies, DDAA and ALP, aimed at disincentivizing selfish miners and increasing the system's resilience. A continuous-time Markov chain model is used to quantify the improvement in bitcoin dependability, and statistical analysis evaluates the feasibility of the proposed strategies. The DDAA method is found to be the most effective in improving bitcoin's dependability compared to an existing timestamp-based defense strategy.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Liudong Xing, Barry W. Johnson
Summary: With the rapid development of the Internet of Things (IoT), unmanned aerial vehicles (UAVs) are playing an increasingly important role in military and civil applications. This article reviews the reliability literature of UAVs, highlighting failure causes and challenges, as well as discussing modeling, analysis, and design methods for UAV systems and subsystems. It also presents open research problems and opportunities for designing reliable and resilient UAVs and UAV-assisted IoT systems.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Guixiang Lv, Liudong Xing, Honggang Wang, Hong Liu
Summary: This paper improves the reliability of storage area networks (SANs) by implementing node degree-based load redistribution strategies to mitigate or prevent cascading failures triggered by data overloading.
INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES
(2023)
Article
Engineering, Multidisciplinary
Chaonan Wang, Yingxi Lie, Liudong Xing, Quanlong Guan, Chunhui Yang, Min Yu
Summary: This paper studies common cause failures that can significantly affect the reliability of a system. It proposes a model for analyzing probabilistic common cause failures, where a common cause can lead to multiple system component failures with different probabilities, and some failures can occur in a cascading manner. The model uses a directed acyclic graph structure to capture complex cascading effects, and an explicit analytical method is proposed for reliability analysis. The method is not limited to specific component time-to-failure distributions. The application and advantages of the proposed method are demonstrated through a detailed case study of a safety instrumented system for oil and gas transportation. The correctness of the method is verified using Monte Carlo simulations, and the time and space complexity of the method are also studied.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: This paper models and optimizes the uploading and downloading pace distribution in a production-dual storage system to meet a specified demand during a mission time. The storage units' paces greatly affect failure probabilities and the mission success probability. A probabilistic approach is used to evaluate the mission success probability, and the optimal pace distribution is determined to maximize it. Case studies are conducted to illustrate the proposed model and solutions, along with investigations on the impacts of system parameters on the mission success probability and optimization solutions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Chaonan Wang, Liudong Xing, Yujie Su, Quanlong Guan, Bo Tang, Yuliang Hu
Summary: This paper proposes an analytical modeling method based on multi-valued decision diagrams (MDD) for efficient reliability analysis of dynamic voting phased mission systems (VPMS). The suggested approach takes into consideration the changing system configurations, phase-dependent failure behavior, and statistical dependencies across phases. It offers a fast MDD generation algorithm and can be applied to systems with heterogeneous components. Examples demonstrate the applications and advantages of this approach.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: This paper proposes a new model of multiple attempts with a prespecified activation delay for mission abort policies in multi-attempt missions. Numerical algorithms are implemented to evaluate mission metrics and optimize the activation delay and attempt abort policy. The model is demonstrated using a case study of unmanned aerial vehicles in a reconnaissance mission.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Zhanfei Gao, Liudong Xing
Summary: In this paper, a new model is developed to study the interaction between damage and maintenance in multi-state systems exposed to multiple shocks. The model measures the system's performance efficiency and budget surplus rate, which reflect the ability to recover from shocks and respond to losses. Markov processes are used to analyze the state transition process, and a case study of a nuclear power plant is conducted to demonstrate the proposed methods. Sensitivity analysis is also performed to evaluate the shock resistance and maintenance capability of the system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Hongyan Dui, Xuan Wei, Liudong Xing
Summary: In many practical situations, the traditional single-criterion importance measures are no longer sufficient. This paper proposes a new multi-criteria importance measure that considers the correlation among different criteria. The proposed measure accurately identifies the weakest components in complex engineering systems.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Automation & Control Systems
Heping Jia, Liudong Xing, Yi Ding, Yanbin Li, Dunnan Liu
Summary: Considerable research efforts have been devoted to modeling load-sharing systems, but existing models have limitations in terms of time-to-failure distribution, component performances, and performance constraints. This article proposes a model for a dynamic load-sharing system (DLSS) that considers the dynamic performance of each component based on load-sharing principles and capacity constraints. The proposed model also considers increasing failure rates and the effects of component degradation. An extended Markov process (EMP) method is introduced for evaluating the reliability of the DLSS with nonrepairable components, which is flexible in handling different component time-to-failure distributions and load allocation mechanisms. Numerical studies and case studies are provided to validate the proposed method and investigate the effects of model parameters.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: This paper focuses on modeling and optimizing the aborting policy for a system that needs to complete multiple distinct tasks within a specific mission time. The aborting policy for each task and the execution sequence of multiple tasks greatly impact the mission performance. The proposed model can minimize mission losses using a genetic algorithm.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Chaonan Wang, Xiaolei Wang, Liudong Xing, Quanlong Guan, Chunhui Yang, Min Yu
Summary: In this paper, efficient complete and partial approximation methods based on the central limit theorem are proposed for reliability analysis of heterogeneous k-out-of-n cold standby systems. Case studies and empirical studies demonstrate the efficiency and accuracy of the proposed methods, as well as the influence of system parameters and component time-to-failure distribution. Practice guidelines are provided, and the proposed approximation methods are generalized by considering imperfect switchover.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
