Article
Engineering, Industrial
Jingjing Wang, Qingan Qiu, Huanhuan Wang, Cong Lin
Summary: Research on maintenance optimization for balanced systems is limited, and this paper proposes a condition-based preventive maintenance policy to address this gap. The policy aims to prevent competing failures by setting optimal PM thresholds based on minimizing system maintenance costs within a semi-Markov decision process framework. An illustrative example is provided to demonstrate the application of the proposed PM policy for balanced systems.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Siqi Wang, Xian Zhao, Congshan Wu, Xiaoyue Wang
Summary: This paper considers a balanced system consisting of multiple multi-state components working in multiple sequential stages. The system is balanced when the largest state difference among all components is below a predetermined value. The system fails when it loses balance or when at least one component completely fails. A joint policy of component reassignment and preventive maintenance is proposed to keep the system balanced and improve its reliability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Computer Science, Hardware & Architecture
Xiujie Zhao, Ziyu Wang
Summary: In this article, a novel maintenance policy optimization method is proposed for systems with two balanced components. The method utilizes Markov decision process and dynamic programming algorithms to optimize the maintenance decisions, and examples are provided for illustration and insight.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Engineering, Industrial
Yan Shi, Zhenzhou Lu, Hongzhong Huang, Yu Liu, Yanfeng Li, Enrico Zio, Yicheng Zhou
Summary: This study establishes a general preventive maintenance strategy optimization (PMSO) model for structures by estimating reliability and considering the lifecycle safety under maintenance, providing a comprehensive approach to maintenance strategy.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Antonio Sanchez-Herguedas, Angel Mena-Nieto, Francisco Rodrigo-Munoz
Summary: This article presents a novel method based on a semi-Markov process approach and the z transform to calculate the optimal time interval until the preventive maintenance intervention. The method provides a powerful tool for maintenance managers to develop maintenance plans efficiently and simplify economic analysis.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Interdisciplinary Applications
Yanjing Zhang, Jingyuan Shen, Yizhong Ma
Summary: This paper studies a two-stage system subject to two competing risks, where failures are hidden and can only be detected through periodic inspections. A preventive maintenance policy based on observed system state is proposed to minimize the expected cost rate, by determining the optimal inspection interval. A numerical example is provided to demonstrate the applicability of the method and results.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Automation & Control Systems
Zied Hajej, Nidhal Rezg, Ali Gharbi
Summary: This paper presents an integrated production, maintenance, and quality control strategy for a degradation production system to reduce defective rate, increase system availability, and meet random demand under service level. It proposes a novel quality control based on interactions with production and maintenance strategies to address quality deterioration. The study aims to establish an economical production policy, maintenance strategy, and quality control policy to minimize total cost and meet random demand under service level and quality constraints.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Peng Liu, Guanjun Wang
Summary: This paper investigates the optimal periodic preventive maintenance policy for systems operating under random environment, aiming to minimize the average cost rate by periodically maintaining and replacing the system to remove failure rate increments caused by external shocks, and performing minimal repairs to restore system functionality. The existence and uniqueness of the optimal bivariate PM policy that minimizes the average cost rate are theoretically proved, with numerical examples demonstrating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Engineering, Marine
Chuanyang Zhao, Hongbing Liu, Xianqiang Qu, Mingxuan Liu, Ruitong Tang, Ankui Xie
Summary: This study establishes a preventive maintenance model based on failure prediction for a floating offshore wind turbine (FOWT) generator. The reliability value of the generator under run or failure states is calculated using the fault tree method, and quantitative analysis of the generator in a maintainable state is carried out using the Markov method. The results show that the FPPM strategy can improve the system's availability and mean time between failure (MTBF) value.
Article
Computer Science, Information Systems
Yashpal Singh Raghav, Mradula, Rahul Varshney, Umar Muhammad Modibbo, Abdullah Ali H. Ahmadini, Irfan Ali
Summary: This study discusses the implementation of preventive maintenance in engineering systems to avoid frequent failures and associated management costs, achieving better results through optimization of availability and cost function, eventually proving the effectiveness of PSO technique.
Article
Engineering, Multidisciplinary
Edward Kozlowski, Anna Borucka, Piotr Oleszczuk, Tomasz Jalowiec
Summary: This article introduces a method for diagnosing the influence of hidden factors on the sojourn time of semi-Markov models. By modeling the sojourn time with a mixture of distributions, the authors are able to accurately assess and maintain the readiness of the system.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
(2023)
Article
Mathematics
Brecht Verbeken, Marie-Anne Guerry
Summary: Discrete time Markov models and semi-Markov models are widely used in manpower planning, but semi-Markov models have more flexible sojourn time distributions to accommodate duration of stay effects. Hybrid semi-Markov models aim to reduce model complexity by only considering duration of stay effects for applicable transitions.
Article
Engineering, Industrial
Nan Zhang, Sen Tian, Kaiquan Cai, Jun Zhang
Summary: This article discusses the condition-based maintenance optimization of a K-out-of-N deteriorating system considering failure dependence. The degradation of each component is modeled by a pure jump levy process. The model has the flexibility to describe the phenomena of instantaneous failures of multiple components and the accumulative propagation effect. The problem is formulated as a Markov decision process and solved using the value iteration algorithm. The proposed policy is evaluated based on the total expected discounted cost in the long-run horizon. Some structural properties of the optimal maintenance policies are obtained under mild conditions. A numerical example is provided to illustrate the applicability of the proposed model.
Article
Chemistry, Multidisciplinary
Khalaf S. Sultan, Mohamed E. Moshref
Summary: The paper proposes a system with a priority unit and an ordinary unit, investigates the reliability measures of the system, and shows the effect of preventive maintenance on the reliability measures.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Congshan Wu, Rong Pan, Xian Zhao, Xiaoyue Wang
Summary: This paper constructs a reliability model and studies the optimal preventive maintenance policy for a performance sharing system with random shocks. The method combining the Markov process and the universal generating function technique is applied to evaluate system availability, and an optimization model is established to determine the optimal preventive maintenance interval. The proposed availability model and method are demonstrated to be applicable and effective through analysis of a regional power distribution system.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
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)