Reliability Engineering and System Safety

2005 - 2025

Current editor(s): Carlos Guedes Soares

From Elsevier
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Volume 230, issue C, 2023

A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system

Zhenan Pang, Tianmei Li, Hong Pei and Xiaosheng Si

Controlled generation of unseen faults for Partial and Open-Partial domain adaptation

Katharina Rombach, Gabriel Michau and Olga Fink

Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees

Yılmaz, Emre, Brian J. German and Amy R. Pritchett

Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour

Hang Zhou, Maryam Farsi, Andrew Harrison, Ajith Kumar Parlikad and Alexandra Brintrup

Reliability optimization of flexible test system based on pyro-mechanical device products production driven

Yong Xiao, Shanbi Wei, Yi Chai, Tianle Pan and Yang Hou

Importance measures for critical components in complex system based on Copula Hierarchical Bayesian Network

Rentong Chen, Chao Zhang, Shaoping Wang, Enrico Zio, Hongyan Dui and Yadong Zhang

A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation

Xinjian Wang, Guoqing Xia, Jian Zhao, Jin Wang, Zaili Yang, Sean Loughney, Siming Fang, Shukai Zhang, Yongheng Xing and Zhengjiang Liu

Supervised dynamic probabilistic risk assessment: Review and comparison of methods

Renan G. Maidana, Tarannom Parhizkar, Alojz Gomola, Ingrid B. Utne and Ali Mosleh

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions

Yifei Ding, Minping Jia, Jichao Zhuang, Yudong Cao, Xiaoli Zhao and Chi-Guhn Lee

Feature disentanglement and tendency retainment with domain adaptation for Lithium-ion battery capacity estimation

Fujin Wang, Zhibin Zhao, Zhi Zhai, Yanjie Guo, Huan Xi, Shibin Wang and Xuefeng Chen

Probabilistic physics-informed machine learning for dynamic systems

Abhinav Subramanian and Sankaran Mahadevan

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

Yanwen Xu, Sara Kohtz, Jessica Boakye, Paolo Gardoni and Pingfeng Wang

Bayesian updating with adaptive, uncertainty-informed subset simulations: High-fidelity updating with multiple observations

Zeyu Wang and Abdollah Shafieezadeh

A delay-time model to integrate the sequence of resumable jobs, inspection policy, and quality for a single-component system

Sinisterra, Wilfrido Quiñones, Victor Hugo Resende Lima, Cristiano Alexandre Virginio Cavalcante and Adetoye Ayokunle Aribisala

A traceable process to develop Bayesian networks from scarce data and expert judgment: A human reliability analysis application

Luca Podofillini, Bernhard Reer and Vinh N. Dang

A cost-informed component maintenance index and its applications

Hongyan Dui, Tianzi Tian, Shaomin Wu and Min Xie

Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems

Yaping Li, Tangbin Xia, Zhen Chen and Ershun Pan

Analysis of a production line subject to degradation and preventive maintenance

Shuaichong Wei, Mustapha Nourelfath and Nabil Nahas

Condition-based inspection, component reallocation and replacement optimization of two-component interchangeable series system

Liying Wang, Yushuang Song, Wenhua Zhang and Xiaoliang Ling

Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics

Juseong Lee and Mihaela Mitici

Prognosis-driven reliability analysis and replacement policy optimization for two-phase continuous degradation

Jiantai Wang, Tan Longyan, Xiaobing Ma, Kaiye Gao, Heping Jia and Li Yang

Performance-based maintenance analysis and resource allocation in irrigation networks

Hongyan Dui, Xuan Wei, Liudong Xing and Liwei Chen

Stochastic isogeometric buckling analysis of composite shell considering multiple uncertainties

Peng Hao, Hao Tang, Yu Wang, Tao Wu, Shaojun Feng and Bo Wang

A novel failure time estimation method for degradation analysis based on general nonlinear Wiener processes

Ao Zhang, Zhihua Wang, Rui Bao, Chengrui Liu, Qiong Wu and Shihao Cao

Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing

Shaojiang Dong, Jiafeng Xiao, Xiaolin Hu, Nengwei Fang, Lanhui Liu and Jinbao Yao

Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring

Chao Wang, Tao Zhu, Bing Yang, Minxuan Yin, Shoune Xiao and Guangwu Yang

Transfer life prediction of gears by cross-domain health indicator construction and multi-hierarchical long-term memory augmented network

Dingliang Chen, Yi Qin, Quan Qian, Yi Wang and Fuqiang Liu

Optimal design of step-stress accelerated degradation tests based on the Tweedie exponential dispersion process

Weian Yan, Xiaofan Xu, David Bigaud and Wenqin Cao

Resilience modeling and pre-hazard mitigation planning of transportation network to support post-earthquake emergency medical response

Yangyang Wu and Suren Chen

An interpretable knowledge-based decision support method for ship collision avoidance using AIS data

Jinfen Zhang, Jiongjiong Liu, Spyros Hirdaris, Mingyang Zhang and Wuliu Tian

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Shunli Wang, Yongcun Fan, Siyu Jin, Paul Takyi-Aninakwa and Carlos Fernandez

Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging

Xin Li, Yong Li, Ke Yan, Haidong Shao and (Jing) Lin, Janet

A mechanical system reliability degradation analysis and remaining life estimation method——With the example of an aircraft hatch lock mechanism

Deyin Jiang, Tianyu Chen, Juanzhang Xie, Weimin Cui and Bifeng Song

PERL: Probabilistic energy-ratio-based localization for boiler tube leaks using descriptors of acoustic emission signals

Kyumin Na, Heonjun Yoon, Jaedong Kim, Sungjong Kim and Byeng D. Youn

A nexus approach to infrastructure resilience planning under uncertainty

Rachel L. Moglen, Julius Barth, Shagun Gupta, Eiji Kawai, Katherine Klise and Benjamin D. Leibowicz

Semi-supervised health assessment of pipeline systems based on optical fiber monitoring

Shengyu Jiang, Rui He, Guoming Chen, Yuan Zhu, Jiaming Shi, Kang Liu and Yuanjiang Chang

Graphical safety assurance case using Goal Structuring Notation (GSN) — challenges, opportunities and a framework for autonomous trains

Mohammed Chelouati, Abderraouf Boussif, Julie Beugin and El-Miloudi El Koursi

Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach

He Lan, Xiaoxue Ma, Weiliang Qiao and Wanyi Deng

Simplified models for uncertainty quantification of extreme events using Monte Carlo technique

Xiaonong Hu, Genshen Fang, Jiayu Yang, Lin Zhao and Yaojun Ge

Maritime traffic clustering to capture high-risk multi-ship encounters in complex waters

Xuri Xin, Kezhong Liu, Sean Loughney, Jin Wang and Zaili Yang

Data-driven Bayesian network for risk analysis of global maritime accidents

Huanhuan Li, Xujie Ren and Zaili Yang

Remaining useful life estimation for two-phase nonlinear degradation processes

Changhua Hu, Yuanxing Xing, Dangbo Du, Xiaosheng Si and Jianxun Zhang

Gumbel mixture modelling for multiple failure data

Marko Nagode, Simon Oman, Jernej Klemenc and Panić, Branislav

Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms

Yupeng Wei and Dazhong Wu

Joint modeling of loading and mission abort policies for systems operating in dynamic environments

Xian Zhao, Rong Li, Shuai Cao and Qingan Qiu

Identifying crucial deficiency categories influencing ship detention: A method of combining cloud model and prospect theory

Jiang-Hong Zhu, Qiang Yang and Jun Jiang

Machine learning approaches to estimate suspension parameters for performance degradation assessment using accurate dynamic simulations

Yongjun Pan, Yu Sun, Zhixiong Li and Paolo Gardoni

A degradation-shock dependent competing failure processes based method for remaining useful life prediction of drill bit considering time-shifting sudden failure threshold

Tingting Feng, Shichao Li, Liang Guo, Hongli Gao, Tao Chen and Yaoxiang Yu

Reliability assessment of a stochastic-flow distribution network with carbon emission constraint

Yi-Feng Niu, Xia Zhao, Xiu-Zhen Xu and Shi-Yun Zhang

QB-II for evaluating the reliability of binary-state networks

Wei-Chang Yeh

Second-order transient-extracting S transform for fault feature extraction in rolling bearings

Yi Liu, Hang Xiang, Zhansi Jiang and Jiawei Xiang

Two-stage vibration-suppression framework for optimal robust placements design and reliable PID gains design via set-crossing theory and artificial neural network

Jiaxiang Liu and Lei Wang

Observable placement of phasor measurement units for defense against data integrity attacks in real time power markets

Hamed Badrsimaei, Rahmat-Allah Hooshmand and Soghra Nobakhtian

Hybrid uncertainty quantification of dependent competing failure process with chance theory

Ying Chen, Yanfang Wang, Shumin Li and Rui Kang

Dynamic and dependent tree theory (D2T2): A framework for the analysis of fault trees with dependent basic events

John Andrews and Silvia Tolo

Vulnerability assessment of storage tanks exposed to simultaneous fire and explosion hazards

Xiaofeng Li, Guohua Chen, Paul Amyotte, Faisal Khan and Mohammad Alauddin

Supply reliability analysis of natural gas pipeline network based on demand-side economic loss risk

Kai Yang, Lei Hou, Jianfeng Man, Qiaoyan Yu, Yu Li, Xinru Zhang and Jiaquan Liu

Co-optimizing component allocation and activation sequence in heterogeneous 1-out-of-n standby system exposed to shocks

Gregory Levitin, Liudong Xing and Yuanshun Dai

Uncertainty modelling and dynamic risk assessment for long-sequence AIS trajectory based on multivariate Gaussian Process

Dawei Gao, Yongsheng Zhu and C. Guedes Soares

Resilience assessment and enhancement evaluation of power distribution systems subjected to ice storms

Guangyang Hou, Kanthasamy K. Muraleetharan, Vinushika Panchalogaranjan, Paul Moses, Amir Javid, Hussein Al-Dakheeli, Rifat Bulut, Richard Campos, P. Scott Harvey, Gerald Miller, Kirby Boldes and Maha Narayanan

An efficient algorithm for analyzing multimode structure system reliability by a new learning function of most reducing average probability of misjudging system state

Ting Yu, Zhenzhou Lu and Wanying Yun

Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions

Ning Ding, Hulin Li, Qi Xin, Bo Wu and Dan Jiang

Early fault diagnosis of rotating machinery based on composite zoom permutation entropy

Chenyang Ma, Yongbo Li, Xianzhi Wang and Zhiqiang Cai

A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery

Zhao-Hua Liu, Liang Chen, Hua-Liang Wei, Fa-Ming Wu, Lei Chen and Ya-Nan Chen

Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis

Junchao Guo, Qingbo He, Dong Zhen, Fengshou Gu and Andrew D. Ball

Performance indicator-based multi-objective reliability optimization for multi-type production systems with heterogeneous machines

Tsung-Jung Hsieh

Quantitative evaluation of common cause failures in high safety-significant safety-related digital instrumentation and control systems in nuclear power plants

Han Bao, Hongbin Zhang, Tate Shorthill, Edward Chen and Svetlana Lawrence

Battery health prognosis with gated recurrent unit neural networks and hidden Markov model considering uncertainty quantification

Mingqiang Lin, Yuqiang You, Wei Wang and Ji Wu

A Petri net model-based resilience analysis of nuclear power plants under the threat of natural hazards

Rundong Yan, Sarah Dunnett and John Andrews