Reliability Engineering & System Safety

Article	Citations
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice	272
Machine learning for reliability engineering and safety applications: Review of current status and future opportunities	232
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning	207
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry	202
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries	197
A dual-LSTM framework combining change point detection and remaining useful life prediction	196
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network	186
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism	177
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings	177
Risk assessment of the operations of maritime autonomous surface ships	155
Random forests for global sensitivity analysis: A selective review	147
A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions	133
Prognostics and health management: A review from the perspectives of design, development and decision	131
Fault diagnosis based on extremely randomized trees in wireless sensor networks	130
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework	126
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE	124
An analysis of factors affecting the severity of marine accidents	124
Support vector machine in structural reliability analysis: A review	121
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles	120
Resilience analysis of maritime transportation systems based on importance measures	118
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction	118
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture	117
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence	113
Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction	113
Fusing physics-based and deep learning models for prognostics	112

Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing	111
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions	110
Assessment of failure rates and reliability of floating offshore wind turbines	109
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings	107
Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression	107
Bayesian network modeling of accident investigation reports for aviation safety assessment	105
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition	104
Life prediction of lithium-ion batteries based on stacked denoising autoencoders	98
An AIS-based deep learning framework for regional ship behavior prediction	96
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform	94
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty	94
Machine learning-based methods in structural reliability analysis: A review	92
Infrastructure resilience curves: Performance measures and summary metrics	91
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis	91
Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints	90
Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance	90
Remaining useful life prediction based on a multi-sensor data fusion model	89
Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system	88
Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost	87
A generalized remaining useful life prediction method for complex systems based on composite health indicator	87
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges	86
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways	86
Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis	84
Vulnerability of bridges to individual and multiple hazards- floods and earthquakes	84
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing	84
Remaining useful life estimation using deep metric transfer learning for kernel regression	82
Spatial patterns and characteristics of global maritime accidents	82
FGDAE: A new machinery anomaly detection method towards complex operating conditions	82
Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion	82
Review of techniques and challenges of human and organizational factors analysis in maritime transportation	81
An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning	81
Data-driven Bayesian network for risk analysis of global maritime accidents	81
Degradation modeling and remaining useful life prediction for dependent competing failure processes	80
Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks	79
Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis	77
Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach	76
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition	75
Fault prediction of bearings based on LSTM and statistical process analysis	75
Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review	75
Bayesian network model for buried gas pipeline failure analysis caused by corrosion and external interference	75
Dynamic mission abort policy for systems operating in a controllable environment with self-healing mechanism	75
Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors	75
A prognostic driven predictive maintenance framework based on Bayesian deep learning	75
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions	75
A hybrid approach based on decomposition algorithm and neural network for remaining useful life prediction of lithium-ion battery	74
Time-dependent reliability-based optimization for structural-topological configuration design under convex-bounded uncertain modeling	73
An integrated multi-head dual sparse self-attention network for remaining useful life prediction	73
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy	73
Multi-objective optimization for limiting tunnel-induced damages considering uncertainties	72
Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model	72

Adaptive Bayesian support vector regression model for structural reliability analysis	71
Searching for the origins of the myth: 80% human error impact on maritime safety	71
The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis	70
The role of transportation infrastructure on the impact of natural hazards on communities	70
Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics	70
Variational encoding approach for interpretable assessment of remaining useful life estimation	69
A framework for quantitative analysis of the causation of grounding accidents in arctic shipping	69
A machine learning method for the evaluation of ship grounding risk in real operational conditions	69
Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method	69
Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning	67
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains	67
Estimation and improvement of transportation network robustness by exploiting communities	66
Modeling Time-varying Reliability and Resilience of Deteriorating Infrastructure	66
Post-earthquake resilience assessment and long-term restoration prioritization of transportation network	66
Reliability-constrained optimal attitude-vibration control for rigid-flexible coupling satellite using interval dimension-wise analysis	66
Importance of human reliability in process operation: A critical analysis	65
Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts	65
An empirical ship domain based on evasive maneuver and perceived collision risk	65
Dual adversarial network for cross-domain open set fault diagnosis	65
Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method	64
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints	64
Probabilistic approach for characterising the static risk of ships using Bayesian networks	64
A knowledge graph-based approach for exploring railway operational accidents	64
Realising advanced risk assessment of vessel traffic flows near offshore wind farms	63
Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method	63
Recovery-based seismic resilience enhancement strategies of water distribution networks	63
Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network	63
An evidential network-based hierarchical method for system reliability analysis with common cause failures and mixed uncertainties	63
Application of the HFACS-PV approach for identification of human and organizational factors (HOFs) influencing marine accidents	62
A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation	61
Non-parametric simulation of non-stationary non-gaussian 3D random field samples directly from sparse measurements using signal decomposition and Markov Chain Monte Carlo (MCMC) simulation	61
Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance	60
A multi-layer spiking neural network-based approach to bearing fault diagnosis	60
Systems Approach to Creating Test Scenarios for Automated Driving Systems	59
A Markov reward process-based framework for resilience analysis of multistate energy systems under the threat of extreme events	59
Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory	59
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics	59
Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing	59
Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach	59
A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory	59
Bayesian Network modelling for safety management of electric vehicles transported in RoPax ships	59
Bayesian deep-learning for RUL prediction: An active learning perspective	58
Time-variant system reliability analysis method for a small failure probability problem	58
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions	58
Maritime traffic probabilistic prediction based on ship motion pattern extraction	58
Modeling and evaluation method for resilience analysis of multi-state networks	58
Robustness assessment of multimodal freight transport networks	58
State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing	57
Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems	57
Transfer learning for remaining useful life prediction based on consensus self-organizing models	56
An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability	55
Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives	55
A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability	55
Spatial correlation analysis of near ship collision hotspots with local maritime traffic characteristics	55
Inspection interval optimization for a k-out-of-n load sharing system under a hybrid mixed redundancy strategy	55
Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process	55
A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles	55
Novel model for risk identification during karst excavation	54
An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation	54
Capacity estimation of batteries: Influence of training dataset size and diversity on data driven prognostic models	54
Remaining useful life prediction for multi-phase deteriorating process based on Wiener process	54
A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems	54
An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment	53
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method	53
A risk science perspective on the discussion concerning Safety I, Safety II and Safety III	53
A concept of critical safety area applicable for an obstacle-avoidance process for manned and autonomous ships	53
A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines	53
System reliability analysis based on dependent Kriging predictions and parallel learning strategy	53
Bearing remaining useful life prediction with convolutional long short-term memory fusion networks	52
Optimal mission abort policy for k-out-of-n: F balanced systems	52
Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints	52
Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems	51
Dynamic risk assessment model of buried gas pipelines based on system dynamics	51
Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms	51
Exploring the vulnerability of transportation networks by entropy: A case study of Asia–Europe maritime transportation network	50
A taxonomy of railway track maintenance planning and scheduling: A review and research trends	50
Uncertainty propagation in risk and resilience analysis of hierarchical systems	49
Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures	49
Multi-disruption resilience assessment of rail transit systems with optimized commuter flows	49
AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis	49

Maintenance optimization in industry 4.0	49
Mathematical modeling of interdependent infrastructure: An object-oriented approach for generalized network-system analysis	49
Reliability analysis for a system experiencing dependent degradation processes and random shocks based on a nonlinear Wiener process model	49
Resiliency-based restoration optimization for dependent network systems against cascading failures	49
Interval Pareto front-based multi-objective robust optimization for sensor placement in structural modal identification	49
A deep learning predictive model for selective maintenance optimization	49
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery	49
Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components	49
Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning	48
A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions	48
A KPCA-BRANN based data-driven approach to model corrosion degradation of subsea oil pipelines	48
A modified quality loss model of service life prediction for products via wear regularity	48
A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures	48
Online bearing fault diagnosis using numerical simulation models and machine learning classifications	48
A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems	48
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis	48
Damage modeling framework for resilience hardening strategy for overhead power distribution systems	48
Multivariate stacked bidirectional long short term memory for lithium-ion battery health management	48
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression	47
Monte Carlo simulation using support vector machine and kernel density for failure probability estimation	47
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems	47
Optimization of maintenance strategies for railway track-bed considering probabilistic degradation models and different reliability levels	47
State of health estimation for lithium-ion batteries based on hybrid attention and deep learning	47
Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds	47
A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures	47
Optimal condition-based preventive maintenance policy for balanced systems	47
Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model	46
Mission reliability modeling of UAV swarm and its structure optimization based on importance measure	46
Optimal stopping problems for mission oriented systems considering time redundancy	46
Reliability modelling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages	46
Optimal bivariate mission abort policy for systems operate in random shock environment	46
Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis	46
Mixed shock model for multi-state weighted k-out-of-n: F systems with degraded resistance against shocks	46
Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery	46
An interpretable knowledge-based decision support method for ship collision avoidance using AIS data	45
Health indicator for machine condition monitoring built in the latent space of a deep autoencoder	45
A long short-term memory neural network based Wiener process model for remaining useful life prediction	45
Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics	45
Randomized quasi-Monte Carlo methods in global sensitivity analysis	45
Modeling network vulnerability of urban rail transit under cascading failures: A Coupled Map Lattices approach	45
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit	45
Investigation of tugboat accidents severity: An application of association rule mining algorithms	45
Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis	45
Explainability-driven model improvement for SOH estimation of lithium-ion battery	44
Opportunistic maintenance policy integrating leasing profit and capacity balancing for serial-parallel leased systems	44
Impact of transmission tower-line interaction to the bulk power system during hurricane	44
Evaluation of patient safety culture using a random forest algorithm	44
Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model	44
Resilience model and recovery strategy of transportation network based on travel OD-grid analysis	44
A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines	44
Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method	44
Prognostics for lithium-ion batteries using a two-phase gamma degradation process model	44
Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning	44
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network	44
Comparing with the joint importance under consideration of consecutive-k-out-of-n system structure changes	44
A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis	44
Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model	44
Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching	44
A multicriteria outranking approach for ship collision risk assessment	44
A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data	44
A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process	44
Importance measure-based phased mission reliability and UAV number optimization for swarm	43
An Integrated Quantitative Risk Assessment Method for Urban Underground Utility Tunnels	43
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions	43
UAV path optimization with an integrated cost assessment model considering third-party risks in metropolitan environments	43
Reliability evaluation of demand-based warm standby systems with capacity storage	43
Mimicking nature for resilient resource and infrastructure network design	43
Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models	43
Functional risk-oriented health prognosis approach for intelligent manufacturing systems	43
A multinomial process tree for reliability assessment of machinery in autonomous ships	43
A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods	42
Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework	42
A Bayesian network risk model for predicting ship besetting in ice during convoy operations along the Northern Sea Route	42
Method of power network critical nodes identification and robustness enhancement based on a cooperative framework	42
Integrated production planning and preventive maintenance scheduling for synchronized parallel machines	42
The value of meteorological data in marine risk assessment	42
A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants	42
Trend attention fully convolutional network for remaining useful life estimation	42
Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach	42
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data	42
Optimization of an aperiodic sequential inspection and condition-based maintenance policy driven by value of information	42
Collision risk analysis on ferry ships in Jiangsu Section of the Yangtze River based on AIS data	41
Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs – An earthquake engineering perspective	41
Assessment of safety barrier performance in the mitigation of domino scenarios caused by Natech events	41
Holistic risk assessment of container shipping service based on Bayesian Network Modelling	41
Reliability-based design optimization of adaptive sliding base isolation system for improving seismic performance of structures	41
Robustness of urban railway networks against the cascading failures induced by the fluctuation of passenger flow	41
Reliability-based design optimization of a spar-type floating offshore wind turbine support structure	41
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors	41
A Graph-based Method for Vulnerability Analysis of Renewable Energy integrated Power Systems to Cascading Failures	41
Joint condition-based maintenance and condition-based production optimization	41
Data-driven accident consequence assessment on urban gas pipeline network based on machine learning	41
Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks	40
Analysis of multivariate dependent accelerated degradation data using a random-effect general Wiener process and D-vine Copula	40
An Optimal Tolerance Design Approach of Robot Manipulators for Positioning Accuracy Reliability	40