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Reliability Engineering and System Safety
2005 - 2025
Current editor(s): Carlos Guedes Soares From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 241, issue C, 2024
- The effect of model misspecification of the bounded transformed gamma process on maintenance optimization

- Massimiliano Giorgio and Gianpaolo Pulcini
- Two-stage support vector machine-enabled deep excavation settlement prediction considering class imbalance and multi-source uncertainties

- Yue Pan, Jianjun Qin, Yongmao Hou and Jin-Jian Chen
- Reliability optimization of multi-state systems with two performance sharing groups

- Liudong Gu, Guanjun Wang, Yifan Zhou and Rui Peng
- Condition-Based Maintenance scheduling of an aircraft fleet under partial observability: A Deep Reinforcement Learning approach

- Iordanis Tseremoglou and Bruno F. Santos
- Optimal opportunity-based age replacement policies in discrete time

- Jing Wu, Cunhua Qian and Tadashi Dohi
- Resilience-driven post-disaster restoration of interdependent infrastructure systems under different decision-making environments

- Min Xu, Guoyuan Li and Anthony Chen
- An efficient sequential anisotropic RBF reliability analysis method with fast cross-validation and parallelizability

- Guosheng Li, Shuaichao Ma, Dequan Zhang, Leping Yang, Weihua Zhang and Zeping Wu
- Incorporating prior knowledge into self-supervised representation learning for long PHM signal

- Yilin Wang, Yuanxiang Li, Yuxuan Zhang, Jia Lei, Yifei Yu, Tongtong Zhang, Yongshen Yang and Honghua Zhao
- Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

- Yunhong Che, Yusheng Zheng, Florent Evariste Forest, Xin Sui, Xiaosong Hu and Remus Teodorescu
- A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity

- Tao Liu, Guanghan Bai, Junyong Tao, Yun-An Zhang and Yining Fang
- Dynamic-controlled principal component analysis for fault detection and automatic recovery

- Niannian Zheng, Xiaoli Luan, Yuri A.W. Shardt and Fei Liu
- A semi-quantitative risk assessment of remote handling operations on the SPES Front-End based on HAZOP-LOPA

- Giordano Lilli, Matteo Sanavia, Roberto Oboe, Chiara Vianello, Mattia Manzolaro, Pasquale Luca De Ruvo and Alberto Andrighetto
- An error-based stopping criterion for spherical decomposition-based adaptive Kriging model and rare event estimation

- Yu Zhang, You Dong and Dan M. Frangopol
- Evaluating the generalizability and transferability of water distribution deterioration models

- Shamsuddin Daulat, Rokstad, Marius Møller, Stian Bruaset, Jeroen Langeveld and Franz Tscheikner-Gratl
- Optimal condition-based maintenance policy for multi-component repairable systems with economic dependence in a finite-horizon

- Wenyu Zhang, Xiaohong Zhang, Shuguang He, Xing Zhao and Zhen He
- Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis

- Jingwen Song, Yifan Cui, Pengfei Wei, Marcos A. Valdebenito and Weihong Zhang
- Estimation of wind turbine responses with attention-based neural network incorporating environmental uncertainties

- Dongping Zhu, Xiaogang Huang, Zhixia Ding and Wei Zhang
- Modeling urban rail transit system resilience under natural disasters: A two-layer network framework based on link flow

- Ying Wang, Ou Zhao and Limao Zhang
- A novel methodology to model disruption propagation for resilient maritime transportation systems–a case study of the Arctic maritime transportation system

- Yang Liu, Xiaoxue Ma, Weiliang Qiao, Laihao Ma and Bing Han
- Online hazard prediction of train operations with parametric hybrid automata based runtime verification

- Ming Chai, Xinyi Zhang, Bernd-Holger Schlingloff, Tao Tang and Hongjie Liu
- Directed network-based connectivity probability evaluation for urban bridges

- Jie Wang, Yangyi Zhang, Shunlong Li, Wencheng Xu and Yao Jin
- Risk analysis of supply chains: The role of supporting structures and infrastructure

- Fabrizio Nocera, Alessandro Contento and Paolo Gardoni
- Stochastic programming for selective maintenance optimization with uncertainty in the next mission conditions

- Milad Ghorbani, Mustapha Nourelfath and Michel Gendreau
- Combining precursor and Cloud Leaky noisy-OR logic gate Bayesian network for dynamic probability analysis of major accidents in the oil depots

- Shuyi Xie, Zimeng Huang, Gang Wu, Jinheng Luo, Lifeng Li, Weifeng Ma and Bohong Wang
- Risk assessment of utility tunnels through risk interaction-based deep learning

- Gang Xue, Shifeng Liu, Long Ren and Daqing Gong
- Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm

- Meimei Zheng, Zhiyun Su, Dong Wang and Ershun Pan
- A hybrid inspection-replacement policy for multi-stage degradation considering imperfect inspection with variable probabilities

- Jiantai Wang, Xiaobing Ma, Li Yang, Qingan Qiu, Lijun Shang and Jingjing Wang
- A hybrid Bayesian network for medical device risk assessment and management

- Joshua L. Hunte, Martin Neil and Norman E. Fenton
- Modelling and performance analysis of the COVID-19 emergency collaborative process based on a stochastic Petri net

- Qinying Sun and Haiqun Ma
- Redundancy allocation problem with a mix of components for a multi-state system and continuous performance level components

- Mani Sharifi and Sharareh Taghipour
- Data-physics-model based fatigue reliability assessment methodology for high-temperature components and its application in steam turbine rotor

- Hang-Hang Gu, Run-Zi Wang, Min-Jin Tang, Xian-Cheng Zhang and Shan-Tung Tu
- Research of artificial intelligence operations for wind turbines considering anomaly detection, root cause analysis, and incremental training

- Chen Zhang, Di Hu and Tao Yang
- Two-Stage Seismic Resilience Enhancement of Electrical Distribution Systems

- Mohammad Hossein Oboudi and Mohammad Mohammadi
- Deep learning–based framework for regional risk assessment in a multi–ship encounter situation based on the transformer network

- Dawei Gao, Yongsheng Zhu, Ke Yan and C. Guedes Soares
- A multidimensional quantitative risk assessment framework for dense areas of stay points for urban HazMat vehicles

- Guoqi Li, Gang Pu, Jiaxin Yang and Xinguo Jiang
- Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets

- Dario Valcamonico, Piero Baraldi, Enrico Zio, Luca Decarli, Anna Crivellari and Laura La Rosa
- Machine learning prediction of BLEVE loading with graph neural networks

- Qilin Li, Yang Wang, Wensu Chen, Ling Li and Hong Hao
- A condition-based maintenance policy with non-periodic inspection for k-out-of-n: G systems

- Yongchao Liu, Guanjun Wang and Peng Liu
- Post-earthquake functionality assessment for urban subway systems: Incorporating the combined effects of seismic performance of structural and non-structural systems and functional interdependencies

- Jie Hu, Weiping Wen, Changhai Zhai and Shunshun Pei
- Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency

- Qiong Liu, Kai Guo, Xianguo Wu, Zhonghua Xiao and Limao Zhang
- A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging

- Tianzhe Wang, Zequan Chen, Guofa Li, Jialong He, Chao Liu and Xuejiao Du
- Line hardening strategies for resilient power systems considering cyber-topology interdependence

- Meng Tian, Zhengcheng Dong, Li Gong and Xianpei Wang
- Understanding cascading risks through real-world interdependent urban infrastructure

- L.G. Brunner, R.A.M. Peer, C. Zorn, R. Paulik and T.M. Logan
- A hybrid model for dynamic analysis of domino effects in chemical process industries

- Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, Ehsan Ramezanifar and Mostafa Mirzaei Aliabadi
- Integration of functional resonance analysis method and reinforcement learning for updating and optimizing emergency procedures in variable environments

- Xuan Liu, Huixing Meng, Xu An and Jinduo Xing
- Modeling the evolution of industrial accidents triggered by natural disasters using dynamic graphs: A case study of typhoon-induced domino accidents in storage tank areas

- Meng Lan, Paolo Gardoni, Wenguo Weng, Kaixin Shen, Zhichao He and Rongliang Pan
- Multi-polynomial chaos Kriging-based adaptive moving strategy for comprehensive reliability analyses

- Da Teng, Yun-Wen Feng, Jun-Yu Chen, Jia-Qi Liu and Cheng Lu
- The damage-based fragility analysis and probabilistic safety assessment of containment under internal pressure

- Zhi Zheng, Aonan Tian, Xiaolan Pan, Duofa Ji and Yong Wang
- Causal discovery and reasoning for geotechnical risk analysis

- Wenli Liu, Fenghua Liu, Weili Fang and Peter E.D. Love
- A deterioration-aware energy management strategy for the lifetime improvement of a multi-stack fuel cell system subject to a random dynamic load

- Jian Zuo, Catherine Cadet, Zhongliang Li, Bérenguer, Christophe and Rachid Outbib
- Designing preventive maintenance for multi-state systems with performance sharing

- Congshan Wu, Rong Pan, Xian Zhao and Xiaoyue Wang
- Trend-augmented and temporal-featured Transformer network with multi-sensor signals for remaining useful life prediction

- Yuru Zhang, Chun Su, Jiajun Wu, Hao Liu and Mingjiang Xie
- Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure

- Xiaohu Zheng, Wen Yao, Yingchun Xu and Ning Wang
- Sampling-based adaptive design strategy for failure probability estimation

- Tiexin Guo, Hongji Wang, Jinglai Li and Hongqiao Wang
- Sparse moment quadrature for uncertainty modeling and quantification

- Xuefei Guan
- Health indicators for remaining useful life prediction of complex systems based on long short-term memory network and improved particle filter

- Yadong Zhang, Chao Zhang, Shaoping Wang, Hongyan Dui and Rentong Chen
- Time-variant reliability analysis of angular contact ball bearing considering the coupled effect of rolling contact fatigue damage and wear

- Bin Xie, Yanzhong Wang, Yunyi Zhu, Peng Liu, Yu Wu and Fengxia Lu
- A data-driven methodology with a nonparametric reliability method for optimal condition-based maintenance strategies

- Mina Mikhail, Mohamed-Salah Ouali and Soumaya Yacout
- Rescue and safety system development and performance evaluation by network reliability

- Cheng-Hao Huang and Yi-Kuei Lin
- An efficient and versatile Kriging-based active learning method for structural reliability analysis

- Jinsheng Wang, Guoji Xu, Peng Yuan, Yongle Li and Ahsan Kareem
- Reliability analysis for systems with self-healing mechanism in degradation-shock dependence processes with changing degradation rate

- Fengming Kang, Lirong Cui, Zhisheng Ye and Yu Zhou
- Improving failure modeling for gas transmission pipelines: A survival analysis and machine learning integrated approach

- Rui Xiao, Tarek Zayed, Mohamed A. Meguid and Laxmi Sushama
- Resilience evaluation of UAV swarm considering resource supplementation

- Linghao Kong, Lizhi Wang, Zhongzheng Cao and Xiaohong Wang
- A resilience-based maintenance optimisation framework using multiple criteria and Knapsack methods

- Ahmed Noaman Karar, Ashraf Labib and Dylan Jones
- Accident data-driven human fatigue analysis in maritime transport using machine learning

- Shiqi Fan and Zaili Yang
- Knowledge distillation-optimized two-stage anomaly detection for liquid rocket engine with missing multimodal data

- Xinwei Zhang, Yong Feng, Jinglong Chen, Zijun Liu, Jun Wang and Hong Huang
- Joint reliability of linear consecutive k-type systems with shared components in a zigzag structure

- He Yi, Narayanaswamy Balakrishnan and Xiang Li
- A safety dynamic evaluation method for missile mission based on multi-layered safety control structure model

- Jiayu. Chen, Boqing Yao, Qinhua Lu, Xuhang Wang, Pingchao Yu and Hongjuan Ge
- Consecutively connected systems with unreliable resource generators and storages

- Gregory Levitin, Liudong Xing and Yuanshun Dai
- A three-stage model of quantifying and analyzing power network resilience based on network theory

- Shuliang Wang, Zhaoyang Guo, Xiaodi Huang and Jianhua Zhang
- A dynamic mission abort policy for transportation systems with stochastic dependence by deep reinforcement learning

- Lujie Liu, Jun Yang and Bingxin Yan
- Probabilistic evaluation of the leak-tightness function of the nuclear containment structure subjected to internal pressure

- Xinbo Li and Jinxin Gong
- Advanced transformer model for simultaneous leakage aperture recognition and localization in gas pipelines

- Pengyu Li, Xiufang Wang, Chunlei Jiang, Hongbo Bi, Yongzhi Liu, Wendi Yan, Cong Zhang, Taiji Dong and Yu Sun
- Human reliability evaluation method covering operator action timing for dynamic probabilistic safety assessment

- Wooseok Jo and Seung Jun Lee
- Intelligent and adaptive asset management model for railway sections using the iPN method

- Ali Saleh, Rasa Remenyte-Prescott, Darren Prescott and ChiachÃo, Manuel
- Modelling standoff distances to prevent escalation in shooting attacks to tanks storing hazardous materials

- Matteo Iaiani, Riccardo Sorichetti, Alessandro Tugnoli and Valerio Cozzani
- Allocation and activation of resource constrained shock-exposed components in heterogeneous 1-out-of-n standby system

- Gregory Levitin, Liudong Xing and Yuanshun Dai
- Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation

- Henrique O. Caetano, Luiz Desuó N.,, Matheus S.S. Fogliatto and Carlos D. Maciel
- Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift

- Yudong Cao, Minping Jia, Xiaoli Zhao, Xiaoan Yan and Ke Feng
- Mission reliability-centered opportunistic maintenance approach for multistate manufacturing systems

- Xiuzhen Yang, Yihai He, Ruoyu Liao, Yuqi Cai and Wei Dai
- Joint optimization of condition-based maintenance and condition-based production of a single equipment considering random yield and maintenance delay

- Nan Zhang, Kaiquan Cai, Yingjun Deng and Jun Zhang
- MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction

- Song Fu, Lin Lin, Yue Wang, Feng Guo, Minghang Zhao, Baihong Zhong and Shisheng Zhong
- Spatial characterization and simulation of new defects in corroded pipeline based on In-Line Inspections

- Amaya-Gómez, Rafael, Sánchez-Silva, Mauricio, Muñoz, Felipe, Franck Schoefs and Emilio Bastidas-Arteaga
- Dynamic probabilistic risk assessment for electric grid cybersecurity

- Xiaoxu Diao, Yunfei Zhao, Carol Smidts, Pavan Kumar Vaddi, Ruixuan Li, Hangtian Lei, Yacine Chakhchoukh, Brian Johnson and Katya Le Blanc
- Multi-level maintenance and inventory joint optimization for a k-out-of-n hyper-system considering the selection of suppliers with incentive discount policies

- Tangbin Xia, Lei Cao, Yuhui Xu, Kaigan Zhang, Zhen Chen, Ershun Pan and Lifeng Xi
- Joint planning of inspection, replacement, and component decommissioning for a series system with non-identically degrading components

- Huy Truong-Ba, Michael E. Cholette, Sinda Rebello and Geoff Kent
- Optimal task aborting and sequencing in time constrained multi-task multi-attempt missions

- Gregory Levitin, Liudong Xing and Yuanshun Dai
- Adaptive incremental diagnosis model for intelligent fault diagnosis with dynamic weight correction

- Kui Hu, Qingbo He, Changming Cheng and Zhike Peng
- A subset simulation analysis framework for rapid reliability evaluation of series-parallel cold standby systems

- Zhixian Lin, Longlong Tao, Shaoxuan Wang, Nuo Yong, Dongqin Xia, Jianye Wang and Daochuan Ge
- A hybrid CNN-LSTM model for joint optimization of production and imperfect predictive maintenance planning

- Hassan Dehghan Shoorkand, Mustapha Nourelfath and Hajji, Adnène
- Reliability modeling and opportunistic maintenance optimization for a multicomponent system with structural dependence

- Duc-Hanh Dinh, Phuc Do, Benoit Iung and Pham-The-Nhan Nguyen
- A stochastic track maintenance scheduling model based on deep reinforcement learning approaches

- Jun S. Lee, In-Ho Yeo and Younghoon Bae
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