OOIR: Observatory of International Research

Papers

(The H4-Index of Reliability Engineering & System Safety is 72. 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.)

Article	Citations
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice	262
Machine learning for reliability engineering and safety applications: Review of current status and future opportunities	224
Multi-scale deep intra-class transfer learning for bearing fault diagnosis	212
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning	203
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry	194
A dual-LSTM framework combining change point detection and remaining useful life prediction	194
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network	183
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries	176
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism	170
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings	170
Risk assessment of the operations of maritime autonomous surface ships	151
Random forests for global sensitivity analysis: A selective review	138
A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions	131
Fault diagnosis based on extremely randomized trees in wireless sensor networks	130
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE	123
Prognostics and health management: A review from the perspectives of design, development and decision	121
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework	120
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles	118
An analysis of factors affecting the severity of marine accidents	118
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture	117
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction	116
Resilience analysis of maritime transportation systems based on importance measures	115
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence	112
Fusing physics-based and deep learning models for prognostics	111
Support vector machine in structural reliability analysis: A review	110

Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction	107
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings	106
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions	106
Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression	105
Assessment of failure rates and reliability of floating offshore wind turbines	103
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition	101
Bayesian network modeling of accident investigation reports for aviation safety assessment	101
Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing	99
Life prediction of lithium-ion batteries based on stacked denoising autoencoders	98
An AIS-based deep learning framework for regional ship behavior prediction	94
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform	93
Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints	91
Infrastructure resilience curves: Performance measures and summary metrics	90
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty	90
Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance	90
Machine learning-based methods in structural reliability analysis: A review	90
Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost	87
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis	86
A generalized remaining useful life prediction method for complex systems based on composite health indicator	86
Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system	86
Remaining useful life prediction based on a multi-sensor data fusion model	86
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways	85
Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion	83
Vulnerability of bridges to individual and multiple hazards- floods and earthquakes	83
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing	83
Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges	82
Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis	82
Remaining useful life estimation using deep metric transfer learning for kernel regression	81
FGDAE: A new machinery anomaly detection method towards complex operating conditions	81
Bayesian Network Modelling for the Wind Energy Industry: An Overview	81
Review of techniques and challenges of human and organizational factors analysis in maritime transportation	79
Spatial patterns and characteristics of global maritime accidents	79
Data-driven Bayesian network for risk analysis of global maritime accidents	78
Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis	77
An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning	77
Degradation modeling and remaining useful life prediction for dependent competing failure processes	77
Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks	77
Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement	76
Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach	76
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
Fault prediction of bearings based on LSTM and statistical process analysis	74
Time-dependent reliability-based optimization for structural-topological configuration design under convex-bounded uncertain modeling	74
A prognostic driven predictive maintenance framework based on Bayesian deep learning	73
Multi-objective optimization for limiting tunnel-induced damages considering uncertainties	72
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions	72