Reliability Engineering and System Safety

2005 - 2025

Current editor(s): Carlos Guedes Soares

From Elsevier
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Volume 227, issue C, 2022

Building degradation index with variable selection for multivariate sensory data

Yueyao Wang, I-Chen Lee, Yili Hong and Xinwei Deng

Physics-informed machine learning assisted uncertainty quantification for the corrosion of dissimilar material joints

Parth Bansal, Zhuoyuan Zheng, Chenhui Shao, Jingjing Li, Mihaela Banu, Blair E Carlson and Yumeng Li

Bayesian reliability analysis for copula based step-stress partially accelerated dependent competing risks model

Chunfang Zhang, Liang Wang, Xuchao Bai and Jianan Huang

Minimizing mission cost for production system with unreliable storage

Gregory Levitin, Liudong Xing and Yuanshun Dai

An analytical model for reliability assessment of the rail system considering dependent failures (case study of Iranian railway)

Farzaneh Nazarizadeh, Akbar Alemtabriz, Mostafa Zandieh and Abbas Raad

An integrated probabilistic risk assessment methodology for maritime transportation of spent nuclear fuel based on event tree and hydrodynamic model

Longlong Tao, Liwei Chen, Daochuan Ge, Yuantao Yao, Fang Ruan, Jie Wu and Jie Yu

Empirical study on human error probability of procedure-extraneous behaviors

Yochan Kim, Sun Yeong Choi, Jinkyun Park and Jaewhan Kim

Commuter welfare-based probabilistic seismic risk assessment of regional road networks

Rodrigo Silva-Lopez, Gitanjali Bhattacharjee, Alan Poulos and Jack W. Baker

Performance-based probabilistic deflection capacity models and fragility estimation for reinforced concrete column and beam subjected to blast loading

Katchalla Bala Kishore, Jaswanth Gangolu, Mukesh K. Ramancha, Kasturi Bhuyan and Hrishikesh Sharma

Bayesian post-processing of Monte Carlo simulation in reliability analysis

Wolfgang Betz, Iason Papaioannou and Daniel Straub

Consistency regularization-based deep polynomial chaos neural network method for reliability analysis

Xiaohu Zheng, Wen Yao, Yunyang Zhang and Xiaoya Zhang

Reliability analyses of k-out-of-n: F capability-balanced systems in a multi-source shock environment

Xiaoyue Wang, Ru Ning, Xian Zhao and Jian Zhou

Reliability optimization of dynamic k-out-of-n systems with competing failure modes

Aliakbar Eslami Baladeh and Sharareh Taghipour

Modular model and algebraic phase algorithm for reliability modelling and evaluation of phased-mission systems with conflicting phase redundancy

Xinyang Wu, Haiyue Yu and Narayanaswamy Balakrishnan

Convolutional kernel aggregated domain adaptation for intelligent fault diagnosis with label noise

Yulin Ma, Lei Li and Jun Yang

Using kamikaze components in multi-attempt missions with abort option

Gregory Levitin, Liudong Xing and Yuanshun Dai

Bearing life prediction method based on the improved FIDES reliability model

Chuanhai Chen, Bowen Li, Jinyan Guo, Zhifeng Liu, Baobao Qi and Chunlei Hua

Evaluation of inter-unit dependency effect on site core damage frequency: Internal and seismic event

Yongjin Kim, Seunghyun Jang and Moosung Jae

Volume 226, issue C, 2022

Reliability optimization of multi-state networks in a star configuration with bi-level performance sharing mechanism and transmission losses

Armaghan Azhdari and Mostafa Abouei Ardakan

Exploring the vulnerability of transportation networks by entropy: A case study of Asia–Europe maritime transportation network

Tao Wen, Qiuya Gao, Yu-wang Chen and Kang Hao Cheong

Joint optimization of production and maintenance for a serial–parallel hybrid two-stage production system

Yilan Shen, Xi Zhang and Leyuan Shi

Adaptive learning for reliability analysis using Support Vector Machines

Nick Pepper, Luis Crespo and Francesco Montomoli

Reliability analysis of multi-parameter monitoring systems for Intensive Care Units

Matheus Soares de Araujo, Leandro Dias da Silva, Ã lvaro Sobrinho, Paulo Cunha and Leonardo Montecchi

A Probabilistic Framework to Evaluate Seismic Resilience of Hospital Buildings Using Bayesian Networks

Jin Liu, Changhai Zhai and Peng Yu

Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles

Te Han and Yan-Fu Li

Performance modeling for condition-based activation of the redundant safety system subject to harmful tests

Aibo Zhang, Songhua Hao, Peng Li, Min Xie and Yiliu Liu

Towards real-time ship collision risk analysis: An improved R-TCR model considering target ship motion uncertainty

Mengxia Li, Junmin Mou, Pengfei Chen, Hao Rong, Linying Chen and P.H.A.J.M. van Gelder

A long short-term memory neural network based Wiener process model for remaining useful life prediction

Xiaowu Chen and Zhen Liu

A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems

Guojin Si, Tangbin Xia, Nagi Gebraeel, Dong Wang, Ershun Pan and Lifeng Xi

Modelling cyber resilience in a water treatment and distribution system

Riccardo Patriarca, Francesco Simone and Giulio Di Gravio

An integrated modeling framework for cascading failure study and robustness assessment of cyber-coupled power grids

Xi Zhang, Dong Liu, Haicheng Tu and Chi Kong Tse

Joint optimization of condition-based performance control and maintenance policies for mission-critical systems

Xian Zhao, Zongda He, Yaguang Wu and Qingan Qiu

F2G: A hybrid fault-function graphical model for reliability analysis of complex equipment with coupled faults

Rongxi Wang, Yufan Li, Jinjin Xu, Zhen Wang and Jianmin Gao

Modeling and evaluation method for resilience analysis of multi-state networks

Tao Liu, Guanghan Bai, Junyong Tao, Yun-An Zhang, Yining Fang and Bei Xu

Reliability modeling and analysis for linear consecutive-k-out-of-n: F retrial systems with two maintenance activities

Yan Wang, Linmin Hu, Li Yang and Jing Li

A framework for onboard assessment and monitoring of flooding risk due to open watertight doors for passenger ships

Pekka Ruponen, Jakub Montewka, Markus Tompuri, Teemu Manderbacka and Spyros Hirdaris

A novel procedure to evaluate the performance of failure assessment models

Guo Lingyun, Niffenegger Markus and Zhou Jing

Quantifying the value of negative inspection outcomes in fatigue maintenance planning: Cost reduction, risk mitigation and reliability growth

Guang Zou and Athanasios Kolios

A predictive maintenance model for k-out-of-n:F continuously deteriorating systems subject to stochastic and economic dependencies

K.T. Huynh, H.C. Vu, T.D. Nguyen and A.C. Ho

Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions

Chao Zhao and Weiming Shen

Resilience assessment of waterway transportation systems: Combining system performance and recovery cost

Nanxi Wang and Kum Fai Yuen

A hybrid data-driven method for rapid prediction of lithium-ion battery capacity

Jiabei He, Yi Tian and Lifeng Wu

Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study

J.I. Aizpurua, B.G. Stewart, S.D.J. McArthur, M. Penalba, M. Barrenetxea, E. Muxika and J.V. Ringwood

A physics-regularized data-driven approach for health prognostics of complex engineered systems with dependent health states

Mohammadmahdi Hajiha, Xiao Liu, Young M. Lee and Moghaddass Ramin

Joint maintenance planning of deteriorating co-located road and water infrastructures with interdependencies

Hung Nguyen, Noha Abdel-Mottaleb, Shihab Uddin, Qiong Zhang, Qing Lu, He Zhang and Mingyang Li

Reliability analysis of load-sharing man-machine systems subject to machine degradation, human errors, and random shocks

Haiyang Che, Shengkui Zeng, Kehui Li and Jianbin Guo

EL-NAHL: Exploring labels autoencoding in augmented hidden layers of feedforward neural networks for cybersecurity in smart grids

Tarek Berghout and Mohamed Benbouzid

A reliability based integrated model of maintenance planning with quality control and production decision for improving operational performance

Pravin P. Tambe and Makarand S. Kulkarni

Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems

Wenzhuo Wang, Yihai He, Ruoyu Liao, Yuqi Cai, Xin Zheng and Yu Zhao

A predictive Markov decision process for optimizing inspection and maintenance strategies of partially observable multi-state systems

Chunhui Guo and Zhenglin Liang

Transferable adaptive channel attention module for unsupervised cross-domain fault diagnosis

Yaowei Shi, Aidong Deng, Minqiang Deng, Meng Xu, Yang Liu, Xue Ding and Jing Li

Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery

Jichao Zhuang, Minping Jia, Yudong Cao and Xiaoli Zhao

Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation

Dongzhen Lyu, Guangxing Niu, Enhui Liu, Bin Zhang, Gang Chen, Tao Yang and Enrico Zio

A novel fixed-node unconnected subgraph method for calculating the reliability of binary-state networks

Hongjun Cui, Fei Wang, Xinwei Ma and Minqing Zhu

Efficient reliability-based design optimization for hydraulic pipeline with adaptive sampling region

Zheng Zhang, Pan Wang, Huanhuan Hu, Lei Li, Haihe Li and Zhufeng Yue

A machine learning method for the evaluation of ship grounding risk in real operational conditions

Mingyang Zhang, Pentti Kujala and Spyros Hirdaris

A real-time probabilistic risk assessment method for the petrochemical industry based on data monitoring

Rui He, Jingyu Zhu, Guoming Chen and Zhigang Tian

A method of online anomaly perception and failure prediction for high-speed automatic train protection system

Renwei Kang, Junfeng Wang, Jianqiu Chen, Jingjing Zhou, Yanzhi Pang, Longlong Guo and Jianfeng Cheng

Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation

Somayajulu L.N. Dhulipala, Michael D. Shields, Promit Chakroborty, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Labouré, Vincent M., Zachary M. Prince, Chandrakanth Bolisetti and Yifeng Che

Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics

Yuanhong Chang, Fudong Li, Jinglong Chen, Yulang Liu and Zipeng Li

Risk analysis of cargo theft from freight supply chains using a data-driven Bayesian network

Xinrui Liang, Shiqi Fan, John Lucy and Zaili Yang

Quantitative risk assessment of submersible pump components using Interval number-based Multinomial Logistic Regression(MLR) model

Pushparenu Bhattacharjee, Vidyut Dey, U.K. Mandal and Susmita Paul

Maintenance policy optimization for multi-component systems considering dynamic importance of components

Chengjie Zhang, Faqun Qi, Ning Zhang, Yong Li and Hongzhong Huang

A framework for quantitative analysis of the causation of grounding accidents in arctic shipping

Shanshan Fu, Yuerong Yu, Jihong Chen, Yongtao Xi and Mingyang Zhang

Demonstration of the E-BEPU methodology for SL-LOCA in a Gen-III PWR reactor

Piotr Mazgaj, Piotr Darnowski, Aleksej Kaszko, Javier Hortal, Milorad Dusic, Mendizábal, Rafael and Fernando Pelayo

Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets

Shuanglei Liu, Weijun Li, Peng Gao and Yibo Sun

A risk comparison framework for autonomous ships navigation

Cunlong Fan, Jakub Montewka and Di Zhang

Reliability modelling of wheel wear deterioration using conditional bivariate gamma processes and Bayesian hierarchical models

Xinliang Dai, Sheng Qu, Hao Sui and Pingbo Wu

Collaborative maintenance service and component sales under coopetition patterns for OEMs challenged by booming used-component sales

Ying Zhu, Tangbin Xia, Ge Hong, Zhen Chen, Ershun Pan and Lifeng Xi

Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery

Yadong Xu, Xiaoan Yan, Ke Feng, Xin Sheng, Beibei Sun and Zheng Liu

A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map

Chan Hee Park, Hyeongmin Kim, Chaehyun Suh, Minseok Chae, Heonjun Yoon and Byeng D. Youn

Simulation-free reliability analysis with active learning and Physics-Informed Neural Network

Chi Zhang and Abdollah Shafieezadeh

Learning of physical health timestep using the LSTM network for remaining useful life estimation

Jinwoo Bae and Zhimin Xi

Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios

Shuaiqi Yuan, Jitao Cai, Genserik Reniers, Ming Yang, Chao Chen and Jiansong Wu

Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support

Mostafa Amini, Ali Bagheri and Dursun Delen

Estimation of fatigue crack initiation and growth in engineering product development using a digital twin approach

Wongon Kim, Guesuk Lee, Hyejeong Son, Hyunhee Choi and Byeng D. Youn

Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions

Wanxiang Li, Zhiwu Shang, Maosheng Gao, Shiqi Qian and Zehua Feng

An event-driven probabilistic methodology for modeling the spatial-temporal evolution of natural hazard-induced domino chain in chemical industrial parks

Jinkun Men, Guohua Chen, Yunfeng Yang and Genserik Reniers