|
|
|
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 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
| | |
|
EconPapers is hosted by the
School of Business at Örebro University.