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Reliability Engineering and System Safety
2005 - 2026
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 268, issue C, 2026
- Sparse Bayesian learning for joint load-parameter-response identification

- Lanxin Luo, Limin Sun, Yixian Li and Yong Xia
- Pre- and Post-Disaster Resilience Optimization of PV-Dense Grids through Hydrogen-Backed EV Infrastructure under Cyber/Physical and Economic Risks

- Xiaojun Deng, Xudong Pei and Jie Deng
- Reverse Variational Autoencoder: A probabilistic inference framework for structural health monitoring and inverse analysis in engineering

- Hao-yang Zhao, Chen Wang and Jian-sheng Fan
- Predictive maintenance: A historical survey of models with imperfect inspections

- Vladimir Ulansky and Ahmed Raza
- A two-phase time-varying mean Ornstein–Uhlenbeck process for online RUL prediction

- Shuai Wang, Chao Zhang, Wentao Zhao, Yong Guo and Haoyang Lv
- Variational inference for hierarchical Bayesian learning framework for model updating with non-stationary prediction errors

- Menghao Ping, Wang-Ji Yan and Costas Papadimitriou
- Data-driven transformer-based explainable deep learning model for real-time TBM performance prediction

- Ankang Ji, Yiyi Zhu, Hongqin Fan, Xiaolong Xue, Minggong Zhang and Jason Xin Zhou
- Adaptive physics-informed neural operator and subset simulation for high-dimensional reliability analysis with multiple stochastic processes in stochastic differential equations

- Yi Gong and Sai Hung Cheung
- Enhancing pre-disaster resilience of distribution networks considering temporal characteristics of typhoon disasters and cyber-physical collaborative control

- Wang Qiujie, Xiao Hao, Tan Hong, Li Zhenxing, Yan Fei and Mohamed A. Mohamed
- BMTR-former: Accelerating RUL prediction on scarce and censored data via bayesian-based multi-task reconstruction transformer

- Yuanyuan Gao, Wei Wang, Di Wang, Xiang Li and Linhan Ouyang
- Bayesian network model for assessing hydrogen ignition probability

- Federica Tamburini, Samantha E. Wismer, Valerio Cozzani and Katrina M. Groth
- Probabilistic solution for reducing oil spill contamination risk on port critical infrastructure safety

- DÄ…browska, Ewa
- A novel AI-driven framework of collaborative intelligent operation and maintenance in cloud-edge computing power networks

- Hongyan Dui, Jiafeng Wang, Shuying Wang and Wanyun Xia
- NaTech-specific Inherent Safety Index (NISI): A quantitative framework for evaluating safety performance during extreme weather and geophysical hazards in hazardous industrial clusters

- Sudha Subburaj and Kalaiselvam S
- Enhancing safety management: A data-driven approach for accident mitigation in a steel industry

- Achinta Kr. Sarmah and Krantiraditya Dhalmahapatra
- System reliability optimization under dynamic mixed heterogeneous redundancy strategy

- Zhendong Long, Ying Ma, Enze Cao and Xiaofeng Liang
- Risk source identification and prevention for metro driven by large language models: A new approach to enhancing system reliability and safety

- Xiaobing Ding, Yingying Hu and Jiangang Jin
- A remaining useful life estimation method based on meta contrastive learning

- Xinyu Shang, Haobo Qiu, Chen Jiang, Pei Liang, Shousheng Ding and Liang Gao
- Lightweight multimodal LLM-empowered dual-agent collaboration for reliable defect detection and maintenance recommendation in tunnel infrastructure

- Gang Yu, Ruibin Ju, Vijayan Sugumaran and Haizhu Liu
- Dual-stage collaborative path planning and task allocation for UAV swarms in complex maritime rescue environments

- Yuxiang Hong and Qianchen Wu
- Scenario generation for testing autonomous escort operations of intelligent tugs based on surrogate modeling and hybrid sampling

- Shijie Li, Jialin Li, Jialun Liu, Chengqi Xu and Zhilin Dong
- An evacuation model considering multi-attribute group decision-making behavior

- Yang Li, Qinghua Mao, Yichen Li, Mingyu Zuo and Xuyang Wan
- An aero-engine remaining useful life prediction method based on deformable convolutional residual attention enhanced Kolmogorov-Arnold networks with prediction advance and shape constraints

- Zhihao Zhou, Yiran Shao, Bo Jiang, Peng Yao, Jinfu Liu and Daren Yu
- A ship–bridge collision risk assessment method based on surrogate safety measures and bivariate extreme value theory

- Jiao Liu, Xi Chen, Kaige Zhu, Miao Gao and Pengjun Zheng
- A generative modeling method to quantify the long-term benefit of neural-network-based RUL predictions to maintenance

- Rui He, Xingchen Liu, Yifei Wang, Zhigang Tian, Mingjian Zuo and Zhi-Sheng Ye
- A sample-efficient transfer learning framework for industrial remaining useful life prediction leveraging large language models

- Yan Chen and Cheng Liu
- Self-data-driven remaining useful life prediction of rotating machinery under time-varying operating conditions based on a two-stage hybrid state-space model

- Zimin Liu, Zihao Lei, Guangrui Wen, Enxiu Wang, Yu Su, Zhifen Zhang and Xuefeng Chen
- FBSTFnet: A full-band spatiotemporal fusion network for machine remaining useful life prediction

- Zhixiang Chen
- Physics-informed Gaussian process regression for tool wear monitoring with uncertainty quantification

- Zenghui Wang, Guanghui Zhou, Chao Zhang, Qinge Xiao and Enrico Zio
- Health index-based remaining useful life prediction using functional principal component analysis with multivariate sensor data

- Sirui Nian, Wenda Kang, Yingqian Wen, Zibing Du and Dianpeng Wang
- Evaluating seismic resilience of critical infrastructures using hybrid recursive bayesian updating and renewal processes

- Kai-ge Wang, Shan-suo Zheng, Xiao-hang Liu, Jun Huang, Qi Tian and Wei Tian
- A prediction strategy for embankment piping occurrence based on comprehensive feature selection and machine learning

- Xi Zhang, Cuixia Wang and Chao Zhang
- Advanced framework for risk coupling analysis applied to ship groundings in Shenzhen port

- Cunlong Fan, Yuhui Qiu, Jakub Montewka, Victor Bolbot and Shenping Hu
- Dynamic variance computation for improved model reliability: A non-parametric approach for out-of-sample predictions

- Behnam Manavi, Edward Chen and Vincent Philip Paglioni
- AK-TSYS: An enhanced active learning Kriging model for time-dependent system reliability analysis

- Qian Zhao, Xiang Jia, Bingyi Li, Miao Wang, Guang Jin and Bo Guo
- Resilience enhancement encryption strategy for cyber-physical energy systems under multiple extreme events based on edge graph computing

- Jun Yang, Yulong Zhao, Qi Wu and Shunjiang Wang
- Critical failure domain-informed smart sampling for slope stability assessment using Bayesian compressive sensing and reliability sensitivity analysis

- Fanhua Meng, Huafu Pei and Chao Shi
- Assessing similarity requirements for effective transfer learning across a network of rigid frame bridges

- Valentina Giglioni, Alina Elena Eva, Keith Worden, Filippo Ubertini and Ilaria Venanzi
- A self-calibrating digital twin for space thermionic nuclear reactors under fault conditions

- Bowen Zhang, Yunze Xue, Yuandong Zhang and Ke Su
- Uncertainty quantification and reliability assessment for intermodal freight transportation

- Jafar Mandouri, Ahmad F. Taha, Hiba Baroud, Craig Philip, Paul Johnson and Sankaran Mahadevan
- Spatial variability in floor live load: A non-homogeneous random field model

- Hao Zeng, Jun Chen, Yang Li, Yiping Gan and Mengjie Xiang
- An unsupervised long-tailed fine-grained few-shot fault diagnosis method based on feature space adjustment strategy

- Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, Xiang Zhang, Runchao Zhao and Zhaobo Chen
- Prediction of remaining useful life and reliability study of aero-engines based on adaptive attention dual-path networks

- Junfa Li, Youchao Sun, Hao Liu, Yulong Li and Hao Wang
- A multi-model probabilistic framework for seismic risk assessment and retrofit planning of electric power networks

- Huangbin Liang, Beatriz Moya, Francisco Chinesta and Eleni Chatzi
- Weighted path-based reliability allocation algorithm for phased-mission systems with phase redundancy

- Xinyang Wu, Zhengyin Yao and Shaoping Wang
- Innovative defense strategies: Fusion deep learning approach to counter false data injection attacks in power systems

- Hamed Moayyed, Arash Moradzadeh, Hussein Abdeltawab, Behnam Mohammadi-Ivatloo, Pedro Faria, S.M. Muyeen and Zita Vale
- Risk identification in prefabricated building construction safety systems based on STPA-TM

- Dan Wang, Kai Yin and Hailong Wang
- Interdependency analysis of coupled power and transportation networks considering the charging decision preferences of EV drivers

- Shixin Wang, Qing-Chang Lu, Liping Liu, Peng-Cheng Xu, Rundong Wang and Lei Zhang
- Fortifying critical infrastructure networks with multicriteria portfolio decision analysis: An application to railway stations in Finland

- JoaquÃn de la Barra,, Ahti Salo, Leevi Olander, Kash Barker and Jussi Kangaspunta
- Availability of repairable systems with extended virtual ages

- Lirong Cui, Yingchen Zhao, Hang Ma and Zheming Cao
- Second derivatives for optimizing MCMC in rare event risk analysis, and first passage problems

- Siu-Kui Au
- Time-domain nonlinear SSSI seismic analysis of nuclear power plants supported by pile foundations considering various incident angles

- Y.-G. Wang, M.-T. Wu and J. Yang
- Bivariate periodic replacement policies for systems with multi-attempt minimal repair

- Wenjie Dong, Meixuan Zhang, Naiming Xie, Kujawińska, Agnieszka and Shey-Huei Sheu
- Nuclear power plant accident risk assessment method research based on bayesian network

- Shujie Guo, Yun Yu, Wei Wei, Shuai Zhang, Jing Liu and Xinli Yu
- Development of surrogate models in probabilistic risk assessment accounting explicitly for the effect of surveillance test intervals

- E. Navarro, Martón, I., Sánchez, A.I. and S. Martorell
- Reliability-centered tool RUL prediction under time-varying processing parameters

- Yuqing Zhang, Feng Zhu, Wei Dai and Jianhong Yang
- Change point severity-aware remaining useful life prediction

- Abrar Mahi Al Rashid, Mohammad Anwar Hosen, Burhan Khan and James Zhang
- Probabilistic resilience assessment framework for cyber-physics multi-microgrids systems considering uncertainty

- Qiaoyuan Kou, Hongli Zhang, Cong Wang and Yue Meng
- Modeling the impact of disinformation on infrastructure networks: A node-to-path causal failure approach across interconnected layers

- Alice Nanyanzi, Kash Barker, Sridhar Radhakrishnan, Zuyuan Zhang and Jose Ramirez-Marquez
- Extended reality technology applied to emergency evacuation research, training and on-site guidance: Analysis and future research

- Xinhang Feng and Wenmei Gai
- A methodology for the analysis of timetables’ resilience in railway rapid transit lines: The case of regular timetables

- David Canca and Juan A. Mesa
- Seismic resilience assessment framework of urban water supply systems considering pipeline and water treatment plant damages

- Benwei Hou, Rui Jia, Tianhe Ma, Minghao Yuan and Chengshun Xu
- Improved AHP and dual-hidden layer adaptive regularized neural network model for the quantitative risk assessment of oil and gas pipelines

- Xueqiang Qu, Taoyan Zhao and Jiangtao Cao
- Research on resilience measurement of collaborative innovation networks under the under-load cascade failures

- Yanlu Zhang, Jiaqi Yang, Haoran Wu and Fatih Safa Erenay
- Hybrid framework for nonlinear system response PDF prediction under Poisson excitation

- Siu-Siu Guo, Fei-Fan Meng and Qingxuan Shi
- A dictionary algorithm for the solution to the generalized quickest path reliability problem

- Kozyra, Paweł Marcin
- Intelligent prediction of flammable gas dispersion from urban gas pipeline leakage using physics-informed neural networks

- Runquan Li, Xinhong Li and Ahmed Salim
- Geographic information system-based urban community fire danger evaluation method fusing evidential reasoning and intelligent optimization

- Bin Sun
- An evacuation navigation method in buildings for emergency based on TL-EKG and dynamic scoring field

- Honglai Wei, Hong Liu, Baoyu Fan, Xiaochuan Li and Wenhao Li
- Coupled disaster mechanisms and theoretical framework in multi-hazard scenarios: insights from non-coal mines

- Menglong Wu, Xiaobing Zhang, WeiWei Shan, Yang Liu and Yanfeng Jiang
- Spatiotemporal patterns of global cargo ship accidents: An enhanced association rule mining approach

- JinHui Wang, HongRui Zhou, BoYing Zhao, LiKun Wang and Lei Zhuang
- Fault diagnosis of inter-shaft bearings in small sample scenarios using multi-sensor spatio-temporal causal fusion and graph conditional variational adversarial networks

- Zhikai Xing, Yongbao Liu, Qiang Wang and Mo Li
- Long-term resilience assessment of bridge networks using data-driven seismic analysis method for deteriorating bridges

- Zhenliang Liu, Chi Zhang, Xinru Ran, Weigang Zhao and Anxin Guo
- Probabilistic assessment on the offshore structural survivability during tropical cyclone processes based on machine learning and ensemble forecast

- Zhiheng Yang and Xiaojing Niu
- Optimal opportunistic maintenance scheduling for continuous process manufacturing systems under time-varying demand and quality-reliability dependency

- Zhaoxiang Chen, Zhen Chen, Di Zhou and Ershun Pan
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