Reliability Engineering & System Safety

Article	Citations
Machine learning for reliability engineering and safety applications: Review of current status and future opportunities	185
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice	184
Multi-scale deep intra-class transfer learning for bearing fault diagnosis	184
A dual-LSTM framework combining change point detection and remaining useful life prediction	173
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning	159
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network	152
An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme	152
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry	147
Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks	136
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism	132
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings	130
Failure mode and effect analysis improvement: A systematic literature review and future research agenda	127
Risk assessment of the operations of maritime autonomous surface ships	126
Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree	118
A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions	116
Fault diagnosis based on extremely randomized trees in wireless sensor networks	108
A system active learning Kriging method for system reliability-based design optimization with a multiple response model	108
Predictive maintenance of systems subject to hard failure based on proportional hazards model	108
Random forests for global sensitivity analysis: A selective review	104
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries	101
Resilience analysis of maritime transportation systems based on importance measures	98
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE	97
Prediction of pipe failures in water supply networks using logistic regression and support vector classification	97
Towards supervisory risk control of autonomous ships	96
Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression	94

Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction	94
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework	93
An analysis of factors affecting the severity of marine accidents	92
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence	91
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions	91
Prognostics and health management: A review from the perspectives of design, development and decision	89
Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks	89
Fusing physics-based and deep learning models for prognostics	86
Bayesian network modeling of accident investigation reports for aviation safety assessment	86
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles	85
Assessment of failure rates and reliability of floating offshore wind turbines	85
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition	85
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture	84
Life prediction of lithium-ion batteries based on stacked denoising autoencoders	83
Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction	83
Reliability analysis with stratified importance sampling based on adaptive Kriging	83
Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints	82
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings	80
Remaining useful life prediction based on a multi-sensor data fusion model	80
Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network	80
An AIS-based deep learning framework for regional ship behavior prediction	79
Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system	75
A generalized remaining useful life prediction method for complex systems based on composite health indicator	75
Selective maintenance optimization for multi-state systems considering stochastically dependent components and stochastic imperfect maintenance actions	74
Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data	74
Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance	72
Infrastructure resilience curves: Performance measures and summary metrics	72
Remaining useful life estimation using deep metric transfer learning for kernel regression	71
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty	71
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways	71
A novel learning function based on Kriging for reliability analysis	71
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform	71
Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis	70
Time-dependent reliability-based optimization for structural-topological configuration design under convex-bounded uncertain modeling	70
Bayesian Network Modelling for the Wind Energy Industry: An Overview	68
Machine learning-based methods in structural reliability analysis: A review	67
Multi-objective optimization for limiting tunnel-induced damages considering uncertainties	67
Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis	66
Vulnerability of bridges to individual and multiple hazards- floods and earthquakes	66
Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion	66
FGDAE: A new machinery anomaly detection method towards complex operating conditions	66
Spatial patterns and characteristics of global maritime accidents	66
Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost	65
Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement	65
Dynamic mission abort policy for systems operating in a controllable environment with self-healing mechanism	65
Degradation modeling and remaining useful life prediction for dependent competing failure processes	64
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing	64
Review of techniques and challenges of human and organizational factors analysis in maritime transportation	64
Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks	63
A simple yet robust resilience assessment metrics	62

An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning	62
Adaptive Bayesian support vector regression model for structural reliability analysis	61
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains	61
Bayesian network model for buried gas pipeline failure analysis caused by corrosion and external interference	61
Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method	61
Analysis of the cascading failure for scale-free networks based on a multi-strategy evolutionary game	61
Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach	60
Resilience assessment of safety system at subway construction sites applying analytic network process and extension cloud models	60
Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning	60
Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts	59
A hybrid approach based on decomposition algorithm and neural network for remaining useful life prediction of lithium-ion battery	58
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy	58
The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis	58
Realising advanced risk assessment of vessel traffic flows near offshore wind farms	57
A machine learning method for the evaluation of ship grounding risk in real operational conditions	57
Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors	57
Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures	57
Probabilistic approach for characterising the static risk of ships using Bayesian networks	57
Fault prediction of bearings based on LSTM and statistical process analysis	55
Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network	55
An empirical ship domain based on evasive maneuver and perceived collision risk	55
The role of transportation infrastructure on the impact of natural hazards on communities	55
Reliability analysis and design optimization of nonlinear structures	55
Dual adversarial network for cross-domain open set fault diagnosis	54
Searching for the origins of the myth: 80% human error impact on maritime safety	54
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints	54
Support vector machine in structural reliability analysis: A review	54
Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach	54
A knowledge graph-based approach for exploring railway operational accidents	53
Multi-variate and single-variable flood fragility and loss approaches for buildings	53
System reliability-redundancy optimization with cold-standby strategy by an enhanced nest cuckoo optimization algorithm	53
Protection-interdiction-restoration: Tri-level optimization for enhancing interdependent network resilience	53
Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing	53
Systems Approach to Creating Test Scenarios for Automated Driving Systems	53
A quantitative approach for assessment and improvement of network resilience	53
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	53
Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression	52
An evidential network-based hierarchical method for system reliability analysis with common cause failures and mixed uncertainties	52
Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method	52
Novel model for risk identification during karst excavation	52
Recovery-based seismic resilience enhancement strategies of water distribution networks	52
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	51
Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model	51
Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method	51
A prognostic driven predictive maintenance framework based on Bayesian deep learning	51
Transfer learning for remaining useful life prediction based on consensus self-organizing models	51
An integrated socio-technical approach for post-earthquake recovery of interdependent healthcare system	51
Application of the HFACS-PV approach for identification of human and organizational factors (HOFs) influencing marine accidents	50
Spatial correlation analysis of near ship collision hotspots with local maritime traffic characteristics	50
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis	50
Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance	50
Estimation and improvement of transportation network robustness by exploiting communities	49
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition	49
Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review	49
A framework for quantitative analysis of the causation of grounding accidents in arctic shipping	49
Importance of human reliability in process operation: A critical analysis	49
A concept of critical safety area applicable for an obstacle-avoidance process for manned and autonomous ships	48
Modeling Time-varying Reliability and Resilience of Deteriorating Infrastructure	48
Bayesian Network modelling for safety management of electric vehicles transported in RoPax ships	48
Data-driven Bayesian network for risk analysis of global maritime accidents	48
System reliability analysis based on dependent Kriging predictions and parallel learning strategy	48
Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems	47
Variational encoding approach for interpretable assessment of remaining useful life estimation	47
Jointly optimizing lot sizing and maintenance policy for a production system with two failure modes	47
Time-variant reliability analysis for industrial robot RV reducer under multiple failure modes using Kriging model	47
Robustness assessment of multimodal freight transport networks	47
An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets	47
Inspection interval optimization for a k-out-of-n load sharing system under a hybrid mixed redundancy strategy	47
Reliability and importance analysis of uncertain system with common cause failures based on survival signature	46
Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory	46
Reliability assessment of multi-state phased mission systems with common bus performance sharing considering transmission loss and performance storage	46
Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process	45
Remaining useful life prediction for multi-phase deteriorating process based on Wiener process	45
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions	45
Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics	45
Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning	44
Optimal mission abort policy for k-out-of-n: F balanced systems	44
Time-variant system reliability analysis method for a small failure probability problem	44
Modeling and evaluation method for resilience analysis of multi-state networks	44
State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing	44

A taxonomy of railway track maintenance planning and scheduling: A review and research trends	44
Risk-based maintenance planning of offshore wind turbine farms	44
A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems	44
Mathematical modeling of interdependent infrastructure: An object-oriented approach for generalized network-system analysis	44
Capacity estimation of batteries: Influence of training dataset size and diversity on data driven prognostic models	43
A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability	43
Active sparse polynomial chaos expansion for system reliability analysis	43
A modified quality loss model of service life prediction for products via wear regularity	43
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges	43
A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation	43
A resilience measure for supply chain systems considering the interruption with the cyber-physical systems	43
A Markov reward process-based framework for resilience analysis of multistate energy systems under the threat of extreme events	43
Evaluation of patient safety culture using a random forest algorithm	42
Optimization of maintenance strategies for railway track-bed considering probabilistic degradation models and different reliability levels	42
A risk science perspective on the discussion concerning Safety I, Safety II and Safety III	42
EEK-SYS: System reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces	42
Maritime traffic probabilistic prediction based on ship motion pattern extraction	42
A multi-layer spiking neural network-based approach to bearing fault diagnosis	42
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions	42
A comprehensive framework for vulnerability analysis of extraordinary events in power systems	42
Post-earthquake resilience assessment and long-term restoration prioritization of transportation network	42
An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment	41
Optimal bivariate mission abort policy for systems operate in random shock environment	41
Dynamic risk assessment model of buried gas pipelines based on system dynamics	41
An integrated multi-head dual sparse self-attention network for remaining useful life prediction	41
Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems	41
Randomized quasi-Monte Carlo methods in global sensitivity analysis	41
Dynamic vulnerability assessment of process plants with respect to vapor cloud explosions	40
Optimal design of a linear sliding window system with consideration of performance sharing	40
Integrated imperfect multimission selective maintenance and repairpersons assignment problem	40
AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis	40
Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model	40
A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures	40
A novel generalized analytical reliability assessment method of smart grids including renewable and non-renewable distributed generations and plug-in hybrid electric vehicles	40
A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems	40
An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation	40
A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines	40
A multinomial process tree for reliability assessment of machinery in autonomous ships	39
A multicriteria outranking approach for ship collision risk assessment	39
Comparing with the joint importance under consideration of consecutive-k-out-of-n system structure changes	39
A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis	39
Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method	39
Uncertainty propagation in risk and resilience analysis of hierarchical systems	39
Multi-disruption resilience assessment of rail transit systems with optimized commuter flows	39
An Integrated Quantitative Risk Assessment Method for Urban Underground Utility Tunnels	39
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression	39
A KPCA-BRANN based data-driven approach to model corrosion degradation of subsea oil pipelines	39
The vulnerability of communities in complex networks: An entropy approach	39
Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model	39
An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability	39
Damage modeling framework for resilience hardening strategy for overhead power distribution systems	39
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method	39
Monte Carlo simulation using support vector machine and kernel density for failure probability estimation	38
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics	38
A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process	38
Optimization of an aperiodic sequential inspection and condition-based maintenance policy driven by value of information	38
Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery	38
Optimal stopping problems for mission oriented systems considering time redundancy	38
Resiliency-based restoration optimization for dependent network systems against cascading failures	38
Reliability modelling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages	38
Deep reinforcement learning-based sampling method for structural reliability assessment	38
Impact of transmission tower-line interaction to the bulk power system during hurricane	38
Optimal condition-based preventive maintenance policy for balanced systems	38
Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components	38
Age-based preventive maintenance for coherent systems with applications to consecutive-k-out-of-n and related systems	38
Functional risk-oriented health prognosis approach for intelligent manufacturing systems	38
Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures	38
A long short-term memory neural network based Wiener process model for remaining useful life prediction	37
A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines	37
Mission reliability modeling of UAV swarm and its structure optimization based on importance measure	37
Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions	37
Reliability-constrained optimal attitude-vibration control for rigid-flexible coupling satellite using interval dimension-wise analysis	37
Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning	37
Health indicator for machine condition monitoring built in the latent space of a deep autoencoder	37
A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles	37
Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints	37
Life cycle cost analysis considering multiple dependent degradation processes and environmental influence	37
Towards Efficient Robust Optimization using Data based Optimal Segmentation of Uncertain Space	37
Bayesian deep-learning for RUL prediction: An active learning perspective	37
Mixed shock model for multi-state weighted k-out-of-n: F systems with degraded resistance against shocks	37
Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis	36
Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives	36
Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis	36
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	36
A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures	36
Optimal maintenance strategies for warranty products with limited repair time and limited repair number	36
A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data	36
Integrated production planning and preventive maintenance scheduling for synchronized parallel machines	36
A deep learning predictive model for selective maintenance optimization	36
Modeling network vulnerability of urban rail transit under cascading failures: A Coupled Map Lattices approach	35
Analysis of multivariate dependent accelerated degradation data using a random-effect general Wiener process and D-vine Copula	35
Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities	35
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors	35
A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants	35
Opportunistic maintenance policy integrating leasing profit and capacity balancing for serial-parallel leased systems	35