Reliab. Eng. Syst. Saf.

Keyphrases

Publications

volume 243, 2024

Zhiwei Chen, Yanlin Zhao, Jinling Yang, Yao Wang, Hongyan Dui
A novel degradation model and reliability evaluation methodology based on two-phase feature extraction: An application to marine lubricating oil pump. Reliab. Eng. Syst. Saf. 243 (2024)
Yutong Dong, Hongkai Jiang, Renhe Yao, Mingzhe Mu, Qiao Yang
Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning. Reliab. Eng. Syst. Saf. 243 (2024)
Xiukai Yuan, Weiming Zheng, Chaofan Zhao, Marcos A. Valdebenito, Matthias G. R. Faes, Yiwei Dong
Line sampling for time-variant failure probability estimation using an adaptive combination approach. Reliab. Eng. Syst. Saf. 243 (2024)
Morteza Cheraghi, Sharareh Taghipour
A mathematical optimization model for determining safety integrity levels in process facilities. Reliab. Eng. Syst. Saf. 243 (2024)
Wen-Bin Chen, Xiaoyang Li, Ji-Peng Wu, Rui Kang
Uncertain random accelerated degradation modelling and statistical analysis with aleatory and epistemic uncertainties from multiple dimensions. Reliab. Eng. Syst. Saf. 243 (2024)
Hongyan Dui, Yulu Zhang, Guanghan Bai
Analysis of variable system cost and maintenance strategy in life cycle considering different failure modes. Reliab. Eng. Syst. Saf. 243 (2024)
Patrik Rusnak, Elena Zaitseva, Vitaly G. Levashenko, Igor Bolvashenkov, Jörg Kammermann
Importance analysis of a system based on survival signature by structural importance measures. Reliab. Eng. Syst. Saf. 243 (2024)
Rajesh Kandel, Hiba Baroud
A data-driven risk assessment of Arctic maritime incidents: Using machine learning to predict incident types and identify risk factors. Reliab. Eng. Syst. Saf. 243 (2024)
Zhiyuan Jiang, Xianzhen Huang, Bingxiang Wang, Xin Liao, Huizhen Liu, Pengfei Ding
Time-dependent reliability-based design optimization of main shaft bearings in wind turbines involving mixed-integer variables. Reliab. Eng. Syst. Saf. 243 (2024)
Inga Saruniene, Linas Martisauskas, Ricardas Krikstolaitis, Juozas Augutis, Roberto Setola
Risk assessment of critical infrastructures: A methodology based on criticality of infrastructure elements. Reliab. Eng. Syst. Saf. 243 (2024)
Manman Dong, Yongbo Cheng, Liangqi Wan
A new adaptive multi-kernel relevance vector regression for structural reliability analysis. Reliab. Eng. Syst. Saf. 243 (2024)
Sa Meng, Liudong Xing, Gregory Levitin
Optimizing component activation and operation aborting in missions with consecutive attempts and common abort command. Reliab. Eng. Syst. Saf. 243 (2024)
Shuwen Zheng, Chong Wang, Enrico Zio, Jie Liu
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths. Reliab. Eng. Syst. Saf. 243 (2024)
Hui Zhang, Min Xu, Min Ouyang
A multi-perspective functionality loss assessment of coupled railway and airline systems under extreme events. Reliab. Eng. Syst. Saf. 243 (2024)
Esma Uflaz, Sukru Ilke Sezer, Ahmet Lutfi Tunçel, Muhammet Aydin, Emre Akyuz, Özcan Arslan
Quantifying potential cyber-attack risks in maritime transportation under Dempster-Shafer theory FMECA and rule-based Bayesian network modelling. Reliab. Eng. Syst. Saf. 243 (2024)
Chen Fang, Jianhui Chen, Daizhen Qiu
Reliability modeling for balanced systems considering mission abort policies. Reliab. Eng. Syst. Saf. 243 (2024)
Jiale Liu, Huan Wang
A brain-inspired energy-efficient Wide Spiking Residual Attention Framework for intelligent fault diagnosis. Reliab. Eng. Syst. Saf. 243 (2024)
Qiu Jiadong, Joy P. Ohl, Trung-Tin Tran
Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms. Reliab. Eng. Syst. Saf. 243 (2024)
Hongqian Zhao, Zheng Chen, Xing Shu, Renxin Xiao, Jiangwei Shen, Yu Liu, Yonggang Liu
Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization. Reliab. Eng. Syst. Saf. 243 (2024)
Xingyuan Miao, Hong Zhao
Corroded submarine pipeline degradation prediction based on theory-guided IMOSOA-EL model. Reliab. Eng. Syst. Saf. 243 (2024)
Xia Jiang, Zhenzhou Lu
A novel quantile-based sequential optimization and reliability assessment method for safety life analysis. Reliab. Eng. Syst. Saf. 243 (2024)
Huiying Wen, Yichen Ye, Lin Zhang
Optimizing road networks in underdeveloped regions for improving comprehensive efficiency integrated by accessibility, vulnerability and socioeconomic interaction. Reliab. Eng. Syst. Saf. 243 (2024)
Ziguang Ji, Yi Chen, Xiaobing Ma, Yikun Cai, Li Yang
Hierarchical condition-based maintenance planning for corrosion process considering natural environmental impact. Reliab. Eng. Syst. Saf. 243 (2024)
Nick Eleftheroglou, Georgios Galanopoulos, Theodoros H. Loutas
Similarity learning hidden semi-Markov model for adaptive prognostics of composite structures. Reliab. Eng. Syst. Saf. 243 (2024)
Omar El Hadri, Darren Prescott
Modular asset management framework based on Petri-net formalisations and risk-aware maintenance. Reliab. Eng. Syst. Saf. 243 (2024)
Giovanni Floreale, Piero Baraldi, Xuefei Lu, Paolo Rossetti, Enrico Zio
Sensitivity analysis by differential importance measure for unsupervised fault diagnostics. Reliab. Eng. Syst. Saf. 243 (2024)
Xiyuan Chen, Xiaoping Ma, Limin Jia, Zhipeng Zhang, Fei Chen, Ruojin Wang
Causative analysis of freight railway accident in specific scenes using a data-driven Bayesian network. Reliab. Eng. Syst. Saf. 243 (2024)
Dapeng Wang, Haobo Qiu, Liang Gao, Chen Jiang
A Subdomain uncertainty-guided Kriging method with optimized feasibility metric for time-dependent reliability analysis. Reliab. Eng. Syst. Saf. 243 (2024)
Diego Mandelli, Congjian Wang, Vivek Agarwal, Linyu Lin, Koushik A. Manjunatha
Reliability modeling in a predictive maintenance context: A margin-based approach. Reliab. Eng. Syst. Saf. 243 (2024)
Abdullah Alsulieman, Xihe Ge, Zhiguo Zeng, Sergiy Butenko, Faisal Khan, Mahmoud M. El-Halwagi
Dynamic risk analysis of evolving scenarios in oil and gas separator. Reliab. Eng. Syst. Saf. 243 (2024)
Qidong You, Jianbin Guo, Shengkui Zeng, Haiyang Che
A dynamic Bayesian network based reliability assessment method for short-term multi-round situation awareness considering round dependencies. Reliab. Eng. Syst. Saf. 243 (2024)
Wenzhe Ding, Xiang Bai, Qingwei Wang, Fang Long, Hailin Li, Zhengrong Wu, Jian Liu, Huisheng Yao, Hong Yang
A truncated test scheme design method for success-failure in-orbit tests. Reliab. Eng. Syst. Saf. 243 (2024)
Jinfeng Zhang, Mei Jin, Chengpeng Wan, Zhijie Dong, Xiaohong Wu
A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships. Reliab. Eng. Syst. Saf. 243 (2024)
Jun Wang, He Ren, Changqing Shen, Weiguo Huang, Zhongkui Zhu
Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis. Reliab. Eng. Syst. Saf. 243 (2024)
Yukun Wang, Weizheng Gao, Xiaopeng Li, Yiliu Liu
Joint optimization of performance-based contracting, condition-based maintenance and spare parts inventory for degrading production systems. Reliab. Eng. Syst. Saf. 243 (2024)
Chenxi Wang, Yuxiang Zhang, Zhibin Zhao, Xuefeng Chen, Jiawei Hu
Dynamic model-assisted transferable network for liquid rocket engine fault diagnosis using limited fault samples. Reliab. Eng. Syst. Saf. 243 (2024)
Yucheng Hao, Limin Jia, Enrico Zio, Yanhui Wang, Zhichao He
A network-based approach to improving robustness of a high-speed train by structure adjustment. Reliab. Eng. Syst. Saf. 243 (2024)
Jiayu Shi, Jingshu Zhong, Yuxuan Zhang, Bin Xiao, Lei Xiao, Yu Zheng
A dual attention LSTM lightweight model based on exponential smoothing for remaining useful life prediction. Reliab. Eng. Syst. Saf. 243 (2024)
Tianqi Sun, Jørn Vatn
A phase-type maintenance model considering condition-based inspections and maintenance delays. Reliab. Eng. Syst. Saf. 243 (2024)
Hassan Hachem, Hai Canh Vu, Mitra Fouladirad
Different methods for RUL prediction considering sensor degradation. Reliab. Eng. Syst. Saf. 243 (2024)
Juan Fernández Salas, Juan Chiachío, José Barros, Manuel Chiachío, Chetan S. Kulkarni
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. Reliab. Eng. Syst. Saf. 243 (2024)
Guohua Chen, Geliang Li, Mulin Xie, Qiming Xu, Geng Zhang
A probabilistic analysis method based on Noisy-OR gate Bayesian network for hydrogen leakage of proton exchange membrane fuel cell. Reliab. Eng. Syst. Saf. 243 (2024)
Hao Sun, Ming Yang, Haiqing Wang
An integrated approach to quantitative resilience assessment in process systems. Reliab. Eng. Syst. Saf. 243 (2024)
Xiaorong Zheng, Jiahao Nie, Zhiwei He, Ping Li, Zhekang Dong, Mingyu Gao
A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis. Reliab. Eng. Syst. Saf. 243 (2024)
Zhiwei Chen, Hao Zhang, Xinyue Wang, Jinling Yang, Hongyan Dui
Reliability analysis and redundancy design of satellite communication system based on a novel Bayesian environmental importance. Reliab. Eng. Syst. Saf. 243 (2024)
Daniyar Kurmankhojayev, Guoyuan Li, Anthony Chen
Link criticality index: Refinement, framework extension, and a case study. Reliab. Eng. Syst. Saf. 243 (2024)
Maohan Liang, Huanhuan Li, Ryan Wen Liu, Jasmine Siu Lee Lam, Zaili Yang
PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents. Reliab. Eng. Syst. Saf. 243 (2024)
Diego D'Urso, Ferdinando Chiacchio, Salvatore Cavalieri, Salvatore Gambadoro, Soheyl Moheb Khodayee
Predictive maintenance of standalone steel industrial components powered by a dynamic reliability digital twin model with artificial intelligence. Reliab. Eng. Syst. Saf. 243 (2024)
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
An adaptive structural dominant failure modes searching method based on graph neural network. Reliab. Eng. Syst. Saf. 243 (2024)
Haijie Wang, Bo Li, Liming Lei, Fu-Zhen Xuan
Uncertainty-aware fatigue-life prediction of additively manufactured Hastelloy X superalloy using a physics-informed probabilistic neural network. Reliab. Eng. Syst. Saf. 243 (2024)