Article
Engineering, Industrial
Duc-Hanh Dinh, Phuc Do, Benoit Iung
Summary: This paper introduces a multi-level opportunistic predictive maintenance approach that considers both economic and structural dependencies. By formulating the dependencies and introducing opportunistic thresholds, it effectively utilizes the relationships between components in maintenance decision-making.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Duc -Hanh Dinh, Phuc Do, Benoit Iung, Pham -The -Nhan Nguyen
Summary: This study investigates the impact of disassembly actions on system reliability and maintenance optimization. It proposes mathematical models to analyze the failure rate of disassembled components and develops a reliability model that considers the impact of disassembly actions. An adaptive opportunistic maintenance policy is proposed to optimize maintenance considering the structural dependence between components. Numerical studies demonstrate the feasibility and advantages of the proposed models and policies, emphasizing the importance of considering the effects of disassembly actions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Multidisciplinary
Phuc Do, Christophe Berenguer
Summary: The study proposes a novel time-dependent importance measure that takes into account the improvement ability of components in the system life time, considering the actual conditions of all components. This measure is extended to integrate the economic dimension of maintenance decision-making, optimizing suggestions for preventive maintenance based on both technical criterion and economic aspects. The advantages and use of the proposed importance measure and its extension are illustrated on a four-component system.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2022)
Article
Engineering, Industrial
Yukun Wang, Xiaopeng Li, Junyan Chen, Yiliu Liu
Summary: This paper proposes a condition-based maintenance (CBM) optimization approach for complex systems. The decision rule at the system level determines whether preventive and/or corrective maintenance actions are needed based on the system's predictive reliability. At the component level, the optimal group of components for preventive maintenance is identified considering reliability improvement and maintenance cost.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Gehui Liu, Shaokuan Chen, Hua Jin, Shuang Liu
Summary: The study introduces a maintenance optimization model to improve system reliability and save maintenance costs. It proposes the delay time theory for evaluating system reliability and develops a comprehensive maintenance model for multi-level maintenance actions. The applicability of the model and the efficiency of the algorithm are demonstrated through case studies.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Jordan L. Oakley, Kevin J. Wilson, Pete Philipson
Summary: This paper proposes a condition-based maintenance policy for multi-component systems that incorporate both stochastic and economic dependence, aiming to optimize replacement decisions. The policy includes a utility function that balances rewards of clustering component replacements with costs of load sharing. Through numerical studies, it is shown that this policy outperforms other alternative policies by reducing system life-cycle costs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Interdisciplinary Applications
Duc-Hanh Dinh, Phuc Do, Tao Quang Bang, Si-Hung Nguyen-Ho
Summary: An opportunistic predictive maintenance framework was developed for a system with continuous operation component (COC) and intermittent operation component (IOC). The study proposed degradation and reliability models considering the influence of COC's degradation on IOC, as well as a maintenance policy considering structural and economic dependencies. A case study of an air compressor system demonstrated the viability and benefits of the proposed model.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Chao Zhang, Yadong Zhang, Hongyan Dui, Shaoping Wang, Mileta M. Tomovic
Summary: This paper proposes an importance-based maintenance priority model and extends it to guide the selection of opportunistic maintenance components. Optimization strategies under various conditions are also proposed. The case study demonstrates that generators have the highest maintenance priority.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
(2022)
Article
Management
Jingyuan Shen, Yanjing Zhang, Yizhong Ma, Cong Lin
Summary: The paper explores a reliability model for a system with main and auxiliary components, studying the failure dependence between them. System reliability is derived using Laplace transforms and the matrix method, with optimization problem solved through enumeration method. A numerical example and sensitivity studies on cost parameters demonstrate how parameter changes affect the optimal maintenance strategy.
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2021)
Article
Engineering, Industrial
Liwei Chen, Yansan Gao, Hongyan Dui, Liudong Xing
Summary: This paper focuses on modeling the reliability of the pod slewing system and conducting component importance analysis to identify weak components. It also investigates optimal maintenance strategies to maximize system performance within total maintenance cost constraints, providing example solutions for different mission times and cost constraints.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Mathematics, Interdisciplinary Applications
Rongcai Wang, Zhonghua Cheng, Enzhi Dong, Chiming Guo, Liqing Rong
Summary: Maintenance is crucial in controlling multi-component production systems by optimizing strategies to reduce downtime and warranty costs, with opportunistic maintenance being a key solution. This study focuses on OM for multi-component systems under BW, utilizing irregular imperfect PM to reduce failure rates and an optimization model to minimize maintenance costs. SA algorithm is proposed to determine the optimal maintenance cost and OM threshold, demonstrated with a numerical example in a port conveyor drive device.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2021)
Review
Engineering, Industrial
Hongyan Dui, Meng Liu, Jiaying Song, Shaomin Wu
Summary: In recent years, the study of resilience management has been accelerated by frequent natural or man-made disturbances. Maintenance activities, as an important source of system resilience, need effective management. Reliability importance measures have become an effective tool in maintenance management. However, there are still challenges in the studies of importance measure-based maintenance management. A comprehensive review and discussion can provide valuable insights for future research.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Green & Sustainable Science & Technology
Tangbin Xia, Yifan Dong, Ershun Pan, Meimei Zheng, Hao Wang, Lifeng Xi
Summary: The operation and maintenance of wind farms are crucial for renewable energy, especially with the complexity of modern large-scale wind farms. A fleet maintenance cost saving policy has been developed to optimize maintenance and reduce costs. Real-time data and fleet structure are utilized to efficiently reduce overall maintenance costs.
Article
Computer Science, Hardware & Architecture
Tangbin Xia, Guojin Si, Dong Wang, Ershun Pan, Lifeng Xi
Summary: This article develops a progressive opportunistic maintenance methodology for a global service-outsourcing network with prognostic updating and dynamical optimization, addressing challenges such as equipment degradations, complex system structures, and global network layout. The methodology utilizes an automated prognostic model at the equipment layer, develops an opportunistic maintenance policy at the local layer, and proposes a routing optimization policy at the global layer. The hierarchical methodology has been verified in a multilocation service-outsourcing network, ensuring cost reduction, service timeliness, and network robustness through real-time prognostic updating and dynamical optimization.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Green & Sustainable Science & Technology
Zhigang Tian, Han Zhang
Summary: Existing studies on wind farm predictive maintenance have mainly focused on repairs at the level of wind turbine subassemblies, considering the economic dependency among them. However, these studies still rely on assumptions regarding the costs and impact of major and minor repairs, and oversimplify the fixed costs that apply to specific subsets of components. This work introduces a more realistic and accurate wind farm predictive maintenance approach that explicitly models component-level repairs, their costs, and economic dependency. A predictive maintenance optimization model is developed to find the optimal maintenance policy, considering downtime and repair resource requirements caused by different component failures. A simulation-based method is used for maintenance cost evaluation, and examples are provided to demonstrate the proposed approach.
Article
Engineering, Industrial
Phuc Do, Roy Assaf, Phil Scarf, Benoit Iung
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Management
E. Mosayebi Omshi, A. Grall, S. Shemehsavar
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Engineering, Industrial
Khanh T. P. Nguyen, Phuc Do, Khac Tuan Huynh, Christophe Berenguer, Antoine Grall
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Engineering, Multidisciplinary
Khac Tuan Huynh, Antoine Grall
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2020)
Article
Automation & Control Systems
Bin Liu, Phuc Do, Benoit Iung, Min Xie
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2020)
Article
Engineering, Industrial
Phuc Do, Christophe Berenguer
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Computer Science, Interdisciplinary Applications
Duc-Hanh Dinh, Phuc Do, Benoit Iung
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Engineering, Industrial
Hai Canh Vu, Phuc Do, Mitra Fouladirad, Antoine Grall
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Multidisciplinary
Yves Langeron, Khac Tuan Huynh, Antoine Grall
Summary: This paper discusses the application of dynamic systems in industry, proposing a method for maintenance and assessment of systems based on system output data.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2021)
Article
Engineering, Industrial
Renny Arismendi, Anne Barros, Antoine Grall
Summary: In recent years, there has been rapid development in condition monitoring technology, but reducing unnecessary inspections and preventive maintenance actions through optimal CBM strategies remains a challenge. This work explores the application of PDMP to different modelling assumptions and presents a formalism to address these problems.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
E. Mosayebi Omshi, A. Grall
Summary: This paper investigates a condition-based predictive maintenance policy for deteriorating systems in the presence of imperfect repairs. A new decision criterion is introduced to evaluate the benefit of repairs for optimal maintenance cost. The study includes a numerical analysis and sensitivity analysis on critical parameters.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Y. Gong, K. T. Huynh, Y. Langeron, A. Grall
Summary: This work focuses on the construction of degradation index and the prognostics of remaining useful life for deteriorating feedback control systems. The system is treated as a black-box and its transfer function is estimated using reference input/time response output. The remaining useful life distribution is then fitted to the Birnbaum-Saunders distribution, and a segmenting piecewise polynomials algorithm is used to learn the mapping between the distribution parameters and degradation index.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Proceedings Paper
Computer Science, Information Systems
Minh-Tuan Truong, Phuc Do, Laurent Mendizabal, Benoit Iung
2019 4TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS 2019)
(2019)
Proceedings Paper
Computer Science, Information Systems
Phuc Do, Benoit Jung, Cristiano Cavalcante
2019 4TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS 2019)
(2019)
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)