Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: Recent studies have shown that preventive replacements of elements can enhance the mission success probability of standby systems. This paper presents a modeling and optimization approach for standby systems with reusable elements and an imperfect storage unit.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Gregory Levitin, Maxim Finkelstein, Yuanshun Dai
Summary: The paper examines heterogeneous warm-standby systems operating in a random environment, investigating cases where failure of operating elements leads to mission failure. Preventive replacement is utilized to reduce the probability of operation failure, with a new recursive algorithm proposed to calculate mission success probability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
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
Gregory Levitin, Liudong Xing, Yanshun Dai
Summary: This paper models a dual-unit standby system with non-identical units, formulating a constrained optimization problem to determine the joint RMS and mission abort policy. The study shows that both the RMS and mission abort threshold parameters adopted significantly affect the mission success probability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yanping Xiang
Summary: This paper discusses the optimization of preventive replacement and scheduling in industrial and technological systems, proposing an event transition-based method to evaluate mission success probability and solving the optimal preventive replacement scheduling problem to maximize this probability. It also considers the case of heterogeneous system elements in a combined optimization problem.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: This paper introduces a modeling and optimization approach for m-out-of-n standby systems considering preventive replacements and imperfect element activations. Probabilistic methods are used to evaluate mission success probability and expected mission cost, and two optimization problems are solved to maximize success probability and minimize mission cost.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Xian Zhao, Ying Dai, Qingan Qiu, Yaguang Wu
Summary: This paper studies the optimal mission abort and allocation of standby components policies for the k-out-of-(n+m):F system considering partial mission loss. By dynamically controlling the mission abort decision and using a recursive algorithm to calculate mission reliability and system survivability, the paper aims to minimize the expected cost and balance the mission reliability and the system survivability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Automation & Control Systems
Gregory Levitin, Maxim Finkelstein, Yanping Xiang
Summary: This article discusses heterogeneous, cold standby systems operating in a random environment modeled by the Poisson process. The article derives recursive equations for obtaining the mission success probability and develops a numerical algorithm. It also solves an optimization problem to determine the number of shocks triggering elements' replacements and provides a detailed numerical example in a cloud computing environment.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Industrial
Chen Lin, Hui Xiao, Yisha Xiang, Rui Peng
Summary: This research focuses on the reliability modeling and analysis of phased-mission systems with a common bus and warm standby elements. It proposes a recursive algorithm and a reliability evaluation algorithm based on the universal generating function to determine the system's performance and average instantaneous availability. The study also explores the optimal system design problem to maximize the average instantaneous availability.
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, Interdisciplinary Applications
Gregory Levitin, Liudong Xing, Yuanshun Dai
Summary: This paper proposes a new standby system model where elements can be reactivated multiple times, non-periodic preventive replacements are conducted, and the mission success probability is evaluated using a probabilistic approach to determine optimal preventive replacement schedules. Examples are provided to examine the impact of model parameters on mission success probability and optimal schedules, and the model can also be applied to sensitivity analysis of elements in homogeneous and heterogeneous standby systems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Xiaolin Wang, Jihui Xu, Lei Zhang, Ning Wang
Summary: This paper devises a novel Graphical Evaluation Review Technique (GERT) mechanism to evaluate and optimize the Mission Success Probability (MSP) of Phased Mission System (PMS) by balancing phase backup and system risk. A GERT network model is established and the transfer properties of the network structures are analyzed. A new risk transmittance parameter is designed to infer system risk, evaluate mission-related parameters, and rank the risk of different phases. The phase backup strategy is filtered for optimal MSP using tag method and conditional moment generating function, with constraints on some risk-pertinent parameters. A case study on a UAV swarm's coastal offensive and defensive operation mission is performed to validate the theoretical findings.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Xufeng Zhao, Jiajia Cai, Satoshi Mizutani, Toshio Nakagawa
Summary: This paper proposes effective replacement policies should be collaborative ones, gathering data from time of operations, mission durations, minimal repairs and maintenance triggering approaches. Replacement policies with time of operations and random arrival times of mission durations, as well as replacement policies with minimal repairs and mission durations are discussed and analyzed in detail. Maintenance triggering approaches, such as replacement first and last, are also considered into respective replacement policies.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
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, Multidisciplinary
Peiyi Liu, Xu Luo, Shigang Zhang, Mengqiao Chen
Summary: Mission Success Probability is a top-level indicator that considers reliability, maintainability, and spare parts security during the system's mission. Numerical simulation is used for evaluating mission success in complex systems with varying component statuses. However, traditional simulations are not suitable for dynamic scenarios requiring rapid evaluation and decision making. Therefore, this paper proposes a method that combines proxy models and simulation sampling to achieve efficient and accurate evaluations. Experimental results show that this method reduces the need for repetitive simulations while maintaining high accuracy.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)