Reliability Engineering & System Safety

(The H4-Index of Reliability Engineering & System Safety is 61. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-12-01 to 2023-12-01.)
Multi-scale deep intra-class transfer learning for bearing fault diagnosis167
Machine learning for reliability engineering and safety applications: Review of current status and future opportunities150
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice145
A dual-LSTM framework combining change point detection and remaining useful life prediction145
An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme136
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning132
Review of studies on the resilience of urban critical infrastructure networks128
Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks126
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network126
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings115
Remaining useful lifetime prediction via deep domain adaptation115
Failure mode and effect analysis improvement: A systematic literature review and future research agenda114
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry113
Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree112
Risk assessment of the operations of maritime autonomous surface ships110
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism105
Predictive maintenance of systems subject to hard failure based on proportional hazards model104
Safety II professionals: How resilience engineering can transform safety practice101
A system active learning Kriging method for system reliability-based design optimization with a multiple response model101
A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions98
Fault diagnosis based on extremely randomized trees in wireless sensor networks95
The evolution of system reliability optimization92
Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies90
Prediction of pipe failures in water supply networks using logistic regression and support vector classification89
Resilience analysis of maritime transportation systems based on importance measures88
Towards supervisory risk control of autonomous ships88
Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks87
Random forests for global sensitivity analysis: A selective review83
Copula-based reliability analysis of degrading systems with dependent failures80
Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression79
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction79
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence78
Prognostics and health management: A review from the perspectives of design, development and decision77
An analysis of factors affecting the severity of marine accidents77
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions75
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework74
Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network74
Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction73
Bayesian network modeling of accident investigation reports for aviation safety assessment72
Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints71
Reliability analysis with stratified importance sampling based on adaptive Kriging71
Selective maintenance optimization for multi-state systems considering stochastically dependent components and stochastic imperfect maintenance actions70
Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data70
Life prediction of lithium-ion batteries based on stacked denoising autoencoders69
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition69
Human-system concurrent task analysis for maritime autonomous surface ship operation and safety67
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE67
Bayesian Network Modelling for the Wind Energy Industry: An Overview66
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture66
Fusing physics-based and deep learning models for prognostics66
Remaining useful life prediction based on a multi-sensor data fusion model65
Multi-state balanced systems in a shock environment64
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty64
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles64
A generalized remaining useful life prediction method for complex systems based on composite health indicator64
Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance64
Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system64
Time-dependent reliability-based optimization for structural-topological configuration design under convex-bounded uncertain modeling64
Assessment of failure rates and reliability of floating offshore wind turbines63
Remaining useful life estimation using deep metric transfer learning for kernel regression62
An AIS-based deep learning framework for regional ship behavior prediction61
Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement61