Reliability Engineering & System Safety

Papers
(The median citation count of Reliability Engineering & System Safety is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice262
Machine learning for reliability engineering and safety applications: Review of current status and future opportunities224
Multi-scale deep intra-class transfer learning for bearing fault diagnosis212
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning203
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry194
A dual-LSTM framework combining change point detection and remaining useful life prediction194
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network183
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries176
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism170
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings170
Risk assessment of the operations of maritime autonomous surface ships151
Random forests for global sensitivity analysis: A selective review138
A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions131
Fault diagnosis based on extremely randomized trees in wireless sensor networks130
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE123
Prognostics and health management: A review from the perspectives of design, development and decision121
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework120
An analysis of factors affecting the severity of marine accidents118
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles118
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture117
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction116
Resilience analysis of maritime transportation systems based on importance measures115
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence112
Fusing physics-based and deep learning models for prognostics111
Support vector machine in structural reliability analysis: A review110
Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction107
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions106
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings106
Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression105
Assessment of failure rates and reliability of floating offshore wind turbines103
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition101
Bayesian network modeling of accident investigation reports for aviation safety assessment101
Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing99
Life prediction of lithium-ion batteries based on stacked denoising autoencoders98
An AIS-based deep learning framework for regional ship behavior prediction94
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform93
Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints91
Infrastructure resilience curves: Performance measures and summary metrics90
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty90
Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance90
Machine learning-based methods in structural reliability analysis: A review90
Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost87
Remaining useful life prediction based on a multi-sensor data fusion model86
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis86
A generalized remaining useful life prediction method for complex systems based on composite health indicator86
Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system86
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways85
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing83
Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion83
Vulnerability of bridges to individual and multiple hazards- floods and earthquakes83
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges82
Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis82
Bayesian Network Modelling for the Wind Energy Industry: An Overview81
Remaining useful life estimation using deep metric transfer learning for kernel regression81
FGDAE: A new machinery anomaly detection method towards complex operating conditions81
Spatial patterns and characteristics of global maritime accidents79
Review of techniques and challenges of human and organizational factors analysis in maritime transportation79
Data-driven Bayesian network for risk analysis of global maritime accidents78
Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks77
Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis77
An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning77
Degradation modeling and remaining useful life prediction for dependent competing failure processes77
Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement76
Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach76
Bayesian network model for buried gas pipeline failure analysis caused by corrosion and external interference75
Dynamic mission abort policy for systems operating in a controllable environment with self-healing mechanism75
Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors75
Fault prediction of bearings based on LSTM and statistical process analysis74
Time-dependent reliability-based optimization for structural-topological configuration design under convex-bounded uncertain modeling74
A prognostic driven predictive maintenance framework based on Bayesian deep learning73
Multi-objective optimization for limiting tunnel-induced damages considering uncertainties72
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions72
A hybrid approach based on decomposition algorithm and neural network for remaining useful life prediction of lithium-ion battery71
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy71
Adaptive Bayesian support vector regression model for structural reliability analysis70
Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review69
Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method69
The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis69
Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model68
The role of transportation infrastructure on the impact of natural hazards on communities68
A machine learning method for the evaluation of ship grounding risk in real operational conditions67
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition67
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains67
Searching for the origins of the myth: 80% human error impact on maritime safety67
Resilience assessment of safety system at subway construction sites applying analytic network process and extension cloud models66
Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning66
An integrated multi-head dual sparse self-attention network for remaining useful life prediction65
A framework for quantitative analysis of the causation of grounding accidents in arctic shipping65
Post-earthquake resilience assessment and long-term restoration prioritization of transportation network65
Importance of human reliability in process operation: A critical analysis65
Estimation and improvement of transportation network robustness by exploiting communities65
Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics65
Reliability-constrained optimal attitude-vibration control for rigid-flexible coupling satellite using interval dimension-wise analysis64
Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method64
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints64
Probabilistic approach for characterising the static risk of ships using Bayesian networks64
Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts64
An empirical ship domain based on evasive maneuver and perceived collision risk64
Modeling Time-varying Reliability and Resilience of Deteriorating Infrastructure64
A knowledge graph-based approach for exploring railway operational accidents64
Variational encoding approach for interpretable assessment of remaining useful life estimation63
Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network63
Dual adversarial network for cross-domain open set fault diagnosis63
Realising advanced risk assessment of vessel traffic flows near offshore wind farms63
Recovery-based seismic resilience enhancement strategies of water distribution networks62
An evidential network-based hierarchical method for system reliability analysis with common cause failures and mixed uncertainties61
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) simulation61
An integrated socio-technical approach for post-earthquake recovery of interdependent healthcare system60
Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method60
Application of the HFACS-PV approach for identification of human and organizational factors (HOFs) influencing marine accidents60
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 theory59
A Markov reward process-based framework for resilience analysis of multistate energy systems under the threat of extreme events59
Multi-variate and single-variable flood fragility and loss approaches for buildings59
Bayesian Network modelling for safety management of electric vehicles transported in RoPax ships59
System reliability-redundancy optimization with cold-standby strategy by an enhanced nest cuckoo optimization algorithm59
Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance59
Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory58
A multi-layer spiking neural network-based approach to bearing fault diagnosis58
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions58
A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation58
Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach58
Modeling and evaluation method for resilience analysis of multi-state networks57
Robustness assessment of multimodal freight transport networks57
Systems Approach to Creating Test Scenarios for Automated Driving Systems57
Time-variant system reliability analysis method for a small failure probability problem57
State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing56
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics56
Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing56
Maritime traffic probabilistic prediction based on ship motion pattern extraction56
Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems56
Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives55
Transfer learning for remaining useful life prediction based on consensus self-organizing models55
Spatial correlation analysis of near ship collision hotspots with local maritime traffic characteristics55
A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability55
A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles54
Inspection interval optimization for a k-out-of-n load sharing system under a hybrid mixed redundancy strategy54
An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability54
A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines53
Bayesian deep-learning for RUL prediction: An active learning perspective53
A concept of critical safety area applicable for an obstacle-avoidance process for manned and autonomous ships53
Capacity estimation of batteries: Influence of training dataset size and diversity on data driven prognostic models53
Remaining useful life prediction for multi-phase deteriorating process based on Wiener process53
Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process53
Novel model for risk identification during karst excavation53
A risk science perspective on the discussion concerning Safety I, Safety II and Safety III53
System reliability analysis based on dependent Kriging predictions and parallel learning strategy53
Optimal mission abort policy for k-out-of-n: F balanced systems52
Risk-based maintenance planning of offshore wind turbine farms52
A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems52
Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems51
Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints51
An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment51
Dynamic risk assessment model of buried gas pipelines based on system dynamics51
An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation50
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method50
AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis49
A taxonomy of railway track maintenance planning and scheduling: A review and research trends49
Jointly optimizing lot sizing and maintenance policy for a production system with two failure modes49
Mathematical modeling of interdependent infrastructure: An object-oriented approach for generalized network-system analysis49
Reliability analysis for a system experiencing dependent degradation processes and random shocks based on a nonlinear Wiener process model49
Bearing remaining useful life prediction with convolutional long short-term memory fusion networks49
Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures49
Multi-disruption resilience assessment of rail transit systems with optimized commuter flows49
A modified quality loss model of service life prediction for products via wear regularity48
Exploring the vulnerability of transportation networks by entropy: A case study of Asia–Europe maritime transportation network48
Resiliency-based restoration optimization for dependent network systems against cascading failures48
Active sparse polynomial chaos expansion for system reliability analysis48
Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning48
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis48
A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions48
A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems48
Reliability and importance analysis of uncertain system with common cause failures based on survival signature48
A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures48
Uncertainty propagation in risk and resilience analysis of hierarchical systems47
A deep learning predictive model for selective maintenance optimization47
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression47
Optimization of maintenance strategies for railway track-bed considering probabilistic degradation models and different reliability levels47
Online bearing fault diagnosis using numerical simulation models and machine learning classifications47
An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets47
A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures47
A KPCA-BRANN based data-driven approach to model corrosion degradation of subsea oil pipelines47
Multivariate stacked bidirectional long short term memory for lithium-ion battery health management47
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery47
Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds47
Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis46
Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components46
Interval Pareto front-based multi-objective robust optimization for sensor placement in structural modal identification46
Optimal bivariate mission abort policy for systems operate in random shock environment46
Optimal condition-based preventive maintenance policy for balanced systems46
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems46
Reliability modelling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages46
Monte Carlo simulation using support vector machine and kernel density for failure probability estimation46
Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model46
Damage modeling framework for resilience hardening strategy for overhead power distribution systems46
Mixed shock model for multi-state weighted k-out-of-n: F systems with degraded resistance against shocks46
Randomized quasi-Monte Carlo methods in global sensitivity analysis45
Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms45
Modeling network vulnerability of urban rail transit under cascading failures: A Coupled Map Lattices approach45
A long short-term memory neural network based Wiener process model for remaining useful life prediction45
Optimal stopping problems for mission oriented systems considering time redundancy45
Mission reliability modeling of UAV swarm and its structure optimization based on importance measure45
An interpretable knowledge-based decision support method for ship collision avoidance using AIS data44
Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method44
Opportunistic maintenance policy integrating leasing profit and capacity balancing for serial-parallel leased systems44
A multicriteria outranking approach for ship collision risk assessment44
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network44
A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis44
Prognostics for lithium-ion batteries using a two-phase gamma degradation process model44
Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis44
Evaluation of patient safety culture using a random forest algorithm44
State of health estimation for lithium-ion batteries based on hybrid attention and deep learning44
A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines44
Health indicator for machine condition monitoring built in the latent space of a deep autoencoder44
Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery44
Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning44
Comparing with the joint importance under consideration of consecutive-k-out-of-n system structure changes44
Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model43
UAV path optimization with an integrated cost assessment model considering third-party risks in metropolitan environments43
Explainability-driven model improvement for SOH estimation of lithium-ion battery43
Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model43
Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching43
Resilience model and recovery strategy of transportation network based on travel OD-grid analysis43
A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process43
Functional risk-oriented health prognosis approach for intelligent manufacturing systems43
A multinomial process tree for reliability assessment of machinery in autonomous ships43
Importance measure-based phased mission reliability and UAV number optimization for swarm43
A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data43
An Integrated Quantitative Risk Assessment Method for Urban Underground Utility Tunnels43
Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions43
Impact of transmission tower-line interaction to the bulk power system during hurricane43
Reliability-based design optimization of adaptive sliding base isolation system for improving seismic performance of structures42
A Bayesian network risk model for predicting ship besetting in ice during convoy operations along the Northern Sea Route42
Trend attention fully convolutional network for remaining useful life estimation42
Optimization of an aperiodic sequential inspection and condition-based maintenance policy driven by value of information42
Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics42
Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models42
Maintenance optimization in industry 4.041
Data-driven accident consequence assessment on urban gas pipeline network based on machine learning41
Method of power network critical nodes identification and robustness enhancement based on a cooperative framework41
Simplified models for uncertainty quantification of extreme events using Monte Carlo technique41
Investigation of tugboat accidents severity: An application of association rule mining algorithms41
Reliability evaluation of demand-based warm standby systems with capacity storage41
Collision risk analysis on ferry ships in Jiangsu Section of the Yangtze River based on AIS data41
A Graph-based Method for Vulnerability Analysis of Renewable Energy integrated Power Systems to Cascading Failures41
Integrated production planning and preventive maintenance scheduling for synchronized parallel machines41
Reliability-based design optimization of a spar-type floating offshore wind turbine support structure41
A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants41
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 methods41
Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework41
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions40
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