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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 (repec@elsevier.com). 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 252, issue C, 2024
- Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems
- Shuwen Zheng, Kai Pan, Jie Liu and Yunxia Chen
- A hybrid physics-informed machine learning approach for time-dependent reliability assessment of electromagnetic relays
- Fabin Mei, Hao Chen, Wenying Yang and Guofu Zhai
- Building reliability of risk assessment of domino effects in chemical tank farm through an improved uncertainty analysis method
- Hongrui Jiang, Long Ding, Jie Ji and Jiping Zhu
- Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines
- Wei Wang, Honghao Song, Shubin Si, Wenhao Lu and Zhiqiang Cai
- Dynamic weight-based accelerated test modeling for fault degradation and lifetime analysis
- Ningyun Lu, Shoujin Huang, Yang Li, Bin Jiang, Okyay Kaynak and Enrico Zio
- Intelligent risk identification for drilling lost circulation incidents using data-driven machine learning
- Shengnan Wu, Yiming Hu, Laibin Zhang, Shujie Liu, Renjun Xie and Zhiming Yin
- Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis
- Zhiheng Su, Penglong Lian, Penghui Shang, Jiyang Zhang, Hongbing Xu, Jianxiao Zou and Shicai Fan
- Reliability and availability analysis of high-altitude platform stations through semi-Markov modeling
- Nikita Mittal, Nika Ivanova, Vidyottama Jain and Vladimir Vishnevsky
- Intelligent spare ordering and replacement optimisation leveraging adaptive prediction information
- Xiaobing Ma, Ruoran Han, Yi Chen, Qingan Qiu, Rui Yan and Li Yang
- Distributed monitoring of nonlinear plant-wide processes based on GA-regularized kernel canonical correlation analysis
- Wenhao Jin, Wenjing Wang, Yang Wang, Zhixing Cao and Qingchao Jiang
- Scalable rapid framework for evaluating network worst robustness with machine learning
- Wenjun Jiang, Peiyan Li, Tianlong Fan, Ting Li, Chuan-fu Zhang, Tao Zhang and Zong-fu Luo
- Optimization of isolation valve placement to improve reliability and resilience of water distribution systems
- Jun Liu, Yunchang Wan, Qingzhou Zhang, Hongpeng Wang, Dahai Zhao, Daoling Wei, Yunhua Zhu and Junyu Liu
- Imperfect maintenance modelling and estimation for interval-censored data
- Cousino, Théo, Florent Brissaud, Laurent Doyen, Olivier Gaudoin and Marle, Leïla
- A learning optimization for resilience enhancement of risk-informed traffic control system with hazardous materials transportation under uncertainty
- Suh-Wen Chiou
- Group machinery intelligent maintenance: Adaptive health prediction and global dynamic maintenance decision-making
- Li Yang, Shihan Zhou, Xiaobing Ma, Yi Chen, Heping Jia and Wei Dai
- Network reliability of a stochastic flow network by wrapping linear programming models into a Monte-Carlo simulation
- Ding-Hsiang Huang
- A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions
- Xiangyu Ren, Yong Qin, Bin Li, Biao Wang, Xiaojian Yi and Limin Jia
- A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples
- Ke Yue, Jipu Li, Shuhan Deng, Chee Keong Kwoh, Zhuyun Chen and Weihua Li
- Corrective maintenance minimizing expected mission losses in shock exposed multistate production-storage systems
- Gregory Levitin, Liudong Xing and Yuanshun Dai
- A comparative study of numerical methods for reliability assessment based on semi-Markov processes
- Bei Wu and Nikolaos Limnios
- Bayesian improved cross entropy method with categorical mixture models for network reliability assessment
- Jianpeng Chan, Iason Papaioannou and Daniel Straub
- Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis
- Hongyan Zhu, Changqing Shen, Lin Li, Dong Wang, Weiguo Huang and Zhongkui Zhu
- A condition-informed dynamic Bayesian network framework to support severe accident management in nuclear power plants
- Giovanni Roma, Francesco Di Maio and Enrico Zio
- Improving resilience of cyber–physical power systems against cyber attacks through strategic energy storage deployment
- Tianxiang Zhao, Haicheng Tu, Rui Jin, Yongxiang Xia and Fangfang Wang
- Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions
- Hongbo Ma, Jiacheng Wei, Guowei Zhang, Xianguang Kong and Jingli Du
- High-dimensional process monitoring under time-varying operating conditions via covariate-regulated principal component analysis
- Yujie Wei, Zhen Chen, Zhi-Sheng Ye and Ershun Pan
- A novel importance measure considering multi-constraints for RAP optimization of 1-out-of-n subsystems with mixed redundancy strategy
- Dan Wang, Mingli Liu, Haoxiang Yang and Shubin Si
- Coal mine gas emission prediction based on multifactor time series method
- Haifei Lin, Wenjing Li, Shugang Li, Lin Wang, Jiaqi Ge, Yu Tian and Jie Zhou
- A risk evaluation method for human-machine interaction in emergencies based on multiple mental models-driven situation assessment
- Jianbin Guo, Shuo Ma, Shengkui Zeng, Haiyang Che and Xing Pan
- Risk causation analysis and prevention strategy of working fluid systems based on accident data and complex network theory
- Jian Li, Zhao Yang, Hongxia He, Changzhen Guo, Yubo Chen and Yong Zhang
- Damage detection and localization in sealed spent nuclear fuel dry storage canisters using multi-task machine learning classifiers
- Anna Arcaro, Bozhou Zhuang, Bora Gencturk and Roger Ghanem
- Joint optimization of job scheduling, condition-based maintenance planning, and spare parts ordering for degrading production systems
- Wenyu Zhang, Shuguang He, Xiaohong Zhang and Xing Zhao
- The loose slipper fault diagnosis of variable-displacement pumps under time-varying operating conditions
- Xinlei Xu, Junhui Zhang, Weidi Huang, Bin Yu, Fei Lyu, Xiaolong Zhang and Bing Xu
- A domain feature decoupling network for rotating machinery fault diagnosis under unseen operating conditions
- Tianyu Gao, Jingli Yang, Wenmin Wang and Xiaopeng Fan
- Lithium-ion battery state of health estimation using a hybrid model with electrochemical impedance spectroscopy
- Jian Wu, Jinhao Meng, Mingqiang Lin, Wei Wang, Ji Wu and Daniel-Ioan Stroe
- Remaining Useful Life prediction based on physics-informed data augmentation
- Hervé de Beaulieu, Martin, Mayank Shekhar Jha, Hugues Garnier and Farid Cerbah
- Forecasting road network functionality states during extreme rainfall events to facilitate real-time emergency response planning
- Junyan Wang and Naiyu Wang
- Quantitative assessment rules and models for dynamic disaster risk in high-density gas gathering stations: Practical application in a largest CBM gathering station
- Qi Jing, Lin Yu, Fengyi Lan and Yuntao Li
- DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain
- Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Ruifang Liu, Jianjun Xu and Jingyi Huo
- A conceptual risk modelling for cargo tank fire/explosion in chemical tanker by using Evidential Reasoning -SLIM and Bayesian belief network approach
- Sukru Ilke Sezer and Emre Akyuz
- Digital twin Bayesian entropy framework for corrosion fatigue life prediction and calibration of bridge suspender
- Yu He, Yafei Ma, Ke Huang, Lei Wang and Jianren Zhang
- An efficient reliability evaluation method for large-scale multi-performance multi-state series-parallel systems considering multi-dimensional approximation
- Yishuang Hu, Yi Ding and Minglei Bao
- Enhancing safety and reliability in multistory construction: A multi-state system assessment of shoring/reshoring operations using interval-valued belief functions
- Ali Shehadeh, Odey Alshboul and Eman Saleh
- Probabilistic Performance-Pattern Decomposition (PPPD): Analysis framework and applications to stochastic mechanical systems
- Ziqi Wang, Junho Song and Marco Broccardo
- Optimized seismic hazard and structural vulnerability model considering macroseismic intensity measures
- Si-Qi Li and Paolo Gardoni
- A reliability analysis method based on the intersection area division of hypersphere and paraboloid
- Zhenzhong Chen, Dongyu Huang, Xiaoke Li, Guiming Qiu and Pengcheng Zhao
- Reliability modeling and optimization of a two-dimensional system considering performance sharing mechanism
- Yefang Chen, Yilai Wang, Hui Xiao and Rui Peng
- Interaction aware and multi-modal distribution for ship trajectory prediction with spatio-temporal crisscross hybrid network
- Miaomiao Wang, Yanfu Wang, Jie Ding and Weizhe Yu
- Causality-based adversarial attacks for robust GNN modelling with application in fault detection
- Jie Liu, Zihan He and Yonghao Miao
- Structural damage detection and localization via an unsupervised anomaly detection method
- Jie Liu, Qilin Li, Ling Li and Senjian An
- A reinforcement learning agent for maintenance of deteriorating systems with increasingly imperfect repairs
- Pliego Marugán, Alberto, Pinar-Pérez, Jesús M. and GarcÃa Márquez, Fausto Pedro
- Resilience analysis of metro stations integrating infrastructures and passengers
- Peng-Cheng Xu, Qing-Chang Lu, Tao Feng, Jing Li, Gen Li and Xin Xu
- Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes
- Ruonan Liu, Yunfei Xie, Di Lin, Weidong Zhang and Steven X. Ding
- A hybrid approach integrating case mining (CM) and the Copula Bayesian Network (CBN) for accident causation probabilistic reasoning of building construction collapses
- Yun Chen, Jie Wang, Lianghai Jin, Benwu Nie and Xiazhong Zheng
- A novel scanline algorithm for generating ordered variables
- Baichao Wu
- A hybrid battery degradation model combining arrhenius equation and neural network for capacity prediction under time-varying operating conditions
- Zhen Chen, Zirong Wang, Wei Wu, Tangbin Xia and Ershun Pan
- A performance-based ballistic design framework for RC panels and a probabilistic model for crater quantification
- Roouf Un Nabi Dar and P. Alagappan
- Robustness study of hybrid hypergraphs
- Hai-Feng Zhang, Hao-Ren Wang, Bing-Bing Xiang and Huan Wang
- Performance-based reliability assessment of transmission lines under tornado actions
- Felipe C. Macedo, Alminhana, Fábio, Leandro F. Fadel Miguel and Beck, André T.
- An asset management modelling framework for wind turbine blades considering monitoring system reliability
- Wen Wu, Darren Prescott, Rasa Remenyte-Prescott, Ali Saleh and Manuel Chiachio Ruano
- Dynamic risk assessment of Uncertain Random System considering operator's simple emergency-stop action in short time window
- Lunhu Hu, Xing Pan, Rui Kang, Jian Chu, Yunfeng Gao, Zhong Xue and Hexi Baoyin
- Crossover point analysis with Jensen-Shannon divergence lower bound for bi-objective reliability optimization of k-out-of-n system
- B. Maneckshaw and G.S. Mahapatra
- Hybrid adaptive moment estimation based performance measure approach for complex reliability-based design optimization
- Huanhuan Hu, Pan Wang, Fukang Xin, Lei Zhang, Weizhu Yang and Lei Li
- Post-earthquake functional state assessment of communication base station using Bayesian network
- Fan Li, Changhai Zhai and Hao Qin
- A condition-based maintenance policy for a two-component balanced system with dependent degradation processes
- Rui Zheng, Haojun Fang and Yanying Song
- Reliability and performance evaluation of weighted k-out-of-n:G system consisting of components with discrete lifetimes
- Serkan Eryilmaz
- Remaining useful life prediction of lithium-ion batteries based on autoregression with exogenous variables model
- Zhelin Huang and Zhihua Ma
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