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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 231, issue C, 2023
- Efficient global sensitivity analysis for high-dimensional outputs combining data-driven probability models and dimensionality reduction

- WoongHee Jung and Alexandros A. Taflanidis
- Modeling coupled effects of dynamic environments and zoned shocks on systems under dependent failure processes

- Bei Wu, Yamei Zhang and Songzheng Zhao
- Global failure probability function estimation based on an adaptive strategy and combination algorithm

- Xiukai Yuan, Yugeng Qian, Jingqiang Chen, Matthias G.R. Faes, Marcos A. Valdebenito and Michael Beer
- A Markov resilience assessment framework for tension leg platform under mooring failure

- Jingyi Wu, Yang Yu, Jianxing Yu, Xueying Chang, Lixin Xu and Wenhao Zhang
- Prognostics of Lithium-Ion batteries using knowledge-constrained machine learning and Kalman filtering

- Guangxing Bai, Yunsheng Su, Maliha Maisha Rahman and Zequn Wang
- An expected integrated error reduction function for accelerating Bayesian active learning of failure probability

- Pengfei Wei, Yu Zheng, Jiangfeng Fu, Yuannan Xu and Weikai Gao
- Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions

- Yadong Xu, Xiaoan Yan, Ke Feng, Yongchao Zhang, Xiaoli Zhao, Beibei Sun and Zheng Liu
- Operational boundary of flow network

- Jun Xiao, Yuqing Qu, Buxin She and Chenhui Song
- Operational risk assessment of ballasting and de-ballasting on-board tanker ship under FMECA extended Evidential Reasoning (ER) and Rule-based Bayesian Network (RBN) approach

- Gizem Elidolu, Sukru Ilke Sezer, Emre Akyuz, Ozcan Arslan and Yasin Arslanoglu
- A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data

- Jiaolong Wang, Fode Zhang, Jianchuan Zhang, Wen Liu and Kuang Zhou
- Scheduling heterogeneous repair channels in selective maintenance of multi-state systems with maintenance duration uncertainty

- Mingang Yin, Yu Liu, Shuntao Liu, Yiming Chen and Yutao Yan
- Residual strength prediction of corroded pipelines using multilayer perceptron and modified feedforward neural network

- Zhanfeng Chen, Xuyao Li, Wen Wang, Yan Li, Lei Shi and Yuxing Li
- Correlation feature distribution matching for fault diagnosis of machines

- Hongchuang Tan, Suchao Xie, Wen Ma, Chengxing Yang and Shiwei Zheng
- Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures

- Francesco Di Maio, Chiara Pettorossi and Enrico Zio
- Maintenance policies and models: A bibliometric and literature review of strategies for reuse and remanufacturing

- Santos, Augusto César de Jesus, Cavalcante, Cristiano Alexandre VirgÃnio and Shaomin Wu
- A cloud model-based approach for risk analysis of excavation system

- Shui-Long Shen, Song-Shun Lin and Annan Zhou
- A hybrid data-driven model for geotechnical reliability analysis

- Wenli Liu, Ang Li, Weili Fang, Peter E.D. Love, Timo Hartmann and Hanbin Luo
- A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition

- Jiusi Zhang, Xiang Li, Jilun Tian, Yuchen Jiang, Hao Luo and Shen Yin
- The effect of interactions between failure mechanisms on the reliability of flood defenses

- Johannes C. Pol, Paulina Kindermann, Mark G. van der Krogt, Vera M. van Bergeijk, Guido Remmerswaal, Willem Kanning, Sebastiaan N. Jonkman and Matthijs Kok
- Condition-based maintenance for a multi-component system in a dynamic operating environment

- Nan Zhang, Yingjun Deng, Bin Liu and Jun Zhang
- Simulation-driven deep learning for locating faulty insulators in a power line

- Blazhe Gjorgiev, Laya Das, Seline Merkel, Martina Rohrer, Etienne Auger and Giovanni Sansavini
- Efficient prediction method of triple failure pressure for corroded pipelines under complex loads based on a backpropagation neural network

- Tieyao Zhang, Jian Shuai, Yi Shuai, Luoyi Hua, Kui Xu, Dong Xie and Yuan Mei
- Extended sample-based approach for efficient sensitivity analysis of group of random variables

- Zhenqiang Wang and Gaofeng Jia
- Copula-based multivariate renewal model for life-cycle analysis of civil infrastructure considering multiple dependent deterioration processes

- Yaohan Li, You Dong and Hongyuan Guo
- Quantification of the value of condition monitoring system with time-varying monitoring performance in the context of risk-based inspection

- Wei-Heng Zhang, Jianjun Qin, Da-Gang Lu, Min Liu and Michael H. Faber
- Novel recursive inclusion-exclusion technology based on BAT and MPs for heterogeneous-arc binary-state network reliability problems

- Wei-Chang Yeh
- System design optimization with mixed subsystems failure dependencies

- Mohamed Arezki Mellal, Enrico Zio, Sameer Al-Dahidi, Naoki Masuyama and Yusuke Nojima
- Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery

- Yuan Wang, Yaguo Lei, Naipeng Li, Tao Yan and Xiaosheng Si
- Cascading failure analysis of multistate loading dependent systems with application in an overloading piping network

- Yixin Zhao, Baoping Cai, Henry Hooi-Siang Kang and Yiliu Liu
- Deep learning approach for energy efficiency prediction with signal monitoring reliability for a vinyl chloride monomer process

- Chanin Panjapornpon, Santi Bardeeniz and Mohamed Azlan Hussain
- Novel method of dynamic event tree keeping the number of simulations in risk analysis small

- Fujio Kaneko and Tomohiro Yuzui
- Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals

- Yuntao Li, Yumeng Wang, Yuying Lai, Jian Shuai and Laibin Zhang
- Multi-grained mode partition and robust fault diagnosis for multimode industrial processes

- Han Zhou, Hongpeng Yin and Yi Chai
- Mechanism-based deep learning for tray efficiency soft-sensing in distillation process

- Shaochen Wang, Wende Tian, Chuankun Li, Zhe Cui and Bin Liu
- Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets

- Ali Saleh, ChiachÃo, Manuel, Salas, Juan Fernández and Athanasios Kolios
- Reliability analysis with cross-entropy based adaptive Markov chain importance sampling and control variates

- Moien Barkhori Mehni and Mohammad Barkhori Mehni
- Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model

- Jian Wang, Shibin Gao, Long Yu, Dongkai Zhang, Chenlin Xie, Ke Chen and Lei Kou
- Optimizing uploading and downloading pace distribution in system with two non-identical storage units

- Gregory Levitin, Liudong Xing and Yuanshun Dai
- Reliability and risk metrics to assess operational adequacy and flexibility of power grids

- Oliver Stover, Pranav Karve and Sankaran Mahadevan
- Reliability analysis of bending fatigue life of hydraulic pipeline

- Xingkeng Shen, Kaixuan Feng, Heming Xu, Guangqiang Wang, Yishang Zhang, Ying Dai and Wanying Yun
- Bayesian reliability analysis of complex k-out-of-n: â„“ systems under degradation performance

- Zahra Saberzadeh, Mostafa Razmkhah and Mohammad Amini
- Degradation modeling and RUL prediction with Wiener process considering measurable and unobservable external impacts

- Shuyi Zhang, Qingqing Zhai and Yaqiu Li
- Remaining lifetime of degrading systems continuously monitored by degrading sensors

- Koushiki Mukhopadhyay, Bin Liu, Tim Bedford and Maxim Finkelstein
- Joint pre- and post-disaster planning to enhance the resilience of critical infrastructures

- Chuanzhou Jia, Chi Zhang, Yan-Fu Li and Quan-Lin Li
- A new sampling approach for system reliability-based design optimization under multiple simulation models

- Seonghyeok Yang, Mingyu Lee and Ikjin Lee
- An unsupervised structural health monitoring framework based on Variational Autoencoders and Hidden Markov Models

- Coraça, Eduardo M., Janito V. Ferreira and Nóbrega, EurÃpedes G.O.
- Dependency effect on the reliability-based design optimization of complex offshore structure

- Aghatise Okoro, Faisal Khan and Salim Ahmed
- A methodology to identify and assess high-risk causes for electrical personal accidents based on directed weighted CN

- Hengqi Zhang and Hua Geng
- Probabilistic reliability assessment of twin tunnels considering fluid–solid coupling with physics-guided machine learning

- Pengfei Qu, Limao Zhang, Qizhi Zhu and Maozhi Wu
- Resilience-oriented network reconfiguration strategies for community emergency medical services

- Taiyi Zhao, Yuchun Tang, Qiming Li and Jingquan Wang
- Introducing a probabilistic framework to measure dam overtopping risk for dams benefiting from dual spillways

- Vida Rajabzadeh, Ali Akbar Hekmatzadeh, Piltan Tabatabaie Shourijeh and Ali Torabi Haghighi
- Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings

- Hoang Nguyen, Xuan-Nam Bui and Erkan Topal
- Adaptive staged remaining useful life prediction method based on multi-sensor and multi-feature fusion

- Yuntian Ta, Yanfeng Li, Wenan Cai, Qianqian Zhang, Zhijian Wang, Lei Dong and Wenhua Du
- An accelerated active learning Kriging model with the distance-based subdomain and a new stopping criterion for reliability analysis

- Yu Zhang, You Dong and Jun Xu
- Models for reliability assessment of reconfigurable manufacturing system regarding configuration orders

- Tian Zhang, Lazhar Homri, Jean-Yves Dantan and Ali Siadat
- Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching

- Shaowei Liu, Hongkai Jiang, Zhenghong Wu, Zichun Yi and Ruixin Wang
- A novel fault diagnosis framework for rotating machinery with hierarchical multiscale symbolic diversity entropy and robust twin hyperdisk-based tensor machine

- Zuanyu Zhu, Junsheng Cheng, Ping Wang, Jian Wang, Xin Kang and Yu Yang
- An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion

- Qing Zhang, Lv Tang, Jianping Xuan, Tielin Shi and Rui Li
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