OOIR: Observatory of International Research

Papers

(The H4-Index of Reliability Engineering & System Safety is 66. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Machine learning for reliability engineering and safety applications: Review of current status and future opportunities	185
Multi-scale deep intra-class transfer learning for bearing fault diagnosis	184
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice	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
Bayesian network modeling of accident investigation reports for aviation safety assessment	86
Fusing physics-based and deep learning models for prognostics	86
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
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles	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
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
Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis	66