| Nome |
# |
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Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment, file e0c31c09-70b5-4599-e053-1705fe0aef77
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940
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Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application, file e0c31c09-7704-4599-e053-1705fe0aef77
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843
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Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods, file e0c31c09-69b3-4599-e053-1705fe0aef77
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515
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Comparison of Data-Driven Reconstruction Methods for Fault Detection, file e0c31c09-5cf0-4599-e053-1705fe0aef77
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424
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Remaining useful life estimation in heterogeneous fleets working under variable operating conditions, file e0c31c0a-be09-4599-e053-1705fe0aef77
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419
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A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression, file e0c31c09-69ba-4599-e053-1705fe0aef77
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404
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echo state network for the remaining useful life prediction of a turbofan engine, file e0c31c0b-1ec4-4599-e053-1705fe0aef77
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403
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Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors, file e0c31c11-5b18-4599-e053-1705fe0aef77
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352
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Ensemble of optimized echo state networks for remaining useful life prediction, file e0c31c0c-1dab-4599-e053-1705fe0aef77
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340
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Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions, file e0c31c0a-b742-4599-e053-1705fe0aef77
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290
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A Hybrid Monte Carlo and Possibilistic Approach to Estimate Non-Suppression Probability in Fire Probabilistic Safety Analysis, file e0c31c0b-e2b3-4599-e053-1705fe0aef77
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274
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Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems, file e0c31c0f-1648-4599-e053-1705fe0aef77
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268
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An unsupervised clustering method for assessing the degradation state of cutting tools used in the packaging industry, file e0c31c0b-e2b6-4599-e053-1705fe0aef77
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259
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A switching ensemble approach for remaining useful life estimation of electrolytic capacitors, file e0c31c0a-be0a-4599-e053-1705fe0aef77
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228
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Uncertainty treatment in expert information systems for maintenance policy assessment, file e0c31c09-70b9-4599-e053-1705fe0aef77
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227
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Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics, file e0c31c11-219b-4599-e053-1705fe0aef77
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218
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Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory, file e0c31c0b-83df-4599-e053-1705fe0aef77
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203
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A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment, file e0c31c0a-d350-4599-e053-1705fe0aef77
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201
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Resistance-based probabilistic design by order statistics for an oil and gas deep-water well casing string affected by wear during kick load, file e0c31c0a-be0b-4599-e053-1705fe0aef77
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193
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A belief function theory based approach to combining different representation of uncertainty in prognostics, file e0c31c09-69b0-4599-e053-1705fe0aef77
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191
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Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders, file e0c31c0e-dd04-4599-e053-1705fe0aef77
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167
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A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets, file e0c31c0b-7a77-4599-e053-1705fe0aef77
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149
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A method for fault diagnosis in evolving environment using unlabeled data, file e0c31c10-929c-4599-e053-1705fe0aef77
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147
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Interacting multiple-models, state augmented Particle Filtering for fault diagnostics, file e0c31c09-70b2-4599-e053-1705fe0aef77
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143
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Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms, file e0c31c09-70be-4599-e053-1705fe0aef77
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133
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Homogeneous Continuous-Time, Finite-State Hidden Semi-Markov Modeling for Enhancing Empirical Classification System Diagnostics of Industrial Components, file e0c31c0c-a0a3-4599-e053-1705fe0aef77
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129
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Hybrid Probabilistic-Possibilistic Treatment of Uncertainty in Building Energy Models: A Case Study of Sizing Peak Cooling Loads, file e0c31c0c-c755-4599-e053-1705fe0aef77
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121
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Online Performance Assessment Method for a Model-Based Prognostic Approach, file e0c31c0a-f322-4599-e053-1705fe0aef77
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113
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Reducing Uncertainty in PHM by Accounting for Human Factors - A Case Study in the Biopharmaceutical Industry, file e0c31c0a-c718-4599-e053-1705fe0aef77
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111
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A novel ensemble clustering for operational transients classification with application to a nuclear power plant turbine, file e0c31c09-6f68-4599-e053-1705fe0aef77
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108
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Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions, file e0c31c0b-2093-4599-e053-1705fe0aef77
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107
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An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells, file e0c31c0e-dd08-4599-e053-1705fe0aef77
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106
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Agent-based modeling and reinforcement learning for optimizing energy systems operation and maintenance: the pathmind solution, file e0c31c11-cd8e-4599-e053-1705fe0aef77
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101
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A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis, file e0c31c0c-d7ce-4599-e053-1705fe0aef77
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96
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Fault diagnostics by conceptors-aided clustering, file e0c31c11-dc90-4599-e053-1705fe0aef77
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91
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An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories, file e0c31c0e-eb41-4599-e053-1705fe0aef77
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88
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Deep reinforcement learning for optimizing operation and maintenance of energy systems equipped with phm capabilities, file e0c31c11-cd8f-4599-e053-1705fe0aef77
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87
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The aramis data challenge: Prognostics and health management in evolving environments, file e0c31c11-cb7a-4599-e053-1705fe0aef77
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65
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A Novel Method for Sensor Data Validation based on the analysis of Wavelet Transform Scalograms, file e0c31c0c-839c-4599-e053-1705fe0aef77
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64
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Fault detection based on optimal transport theory, file e0c31c11-cb77-4599-e053-1705fe0aef77
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64
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An ensemble of echo state networks for predicting the energy production of wind plants, file e0c31c12-1fcd-4599-e053-1705fe0aef77
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60
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Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients, file e0c31c11-24a6-4599-e053-1705fe0aef77
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59
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A novel degradation state indicator for steam generators of nuclear power plants, file e0c31c12-235b-4599-e053-1705fe0aef77
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58
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Multi-objective evolutionary algorithm for the identification of rare functional dependencies in complex technical infrastructures, file e0c31c11-cbdf-4599-e053-1705fe0aef77
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54
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A coevolutionary optimization approach with deep sparse autoencoder for the extraction of equipment degradation indicators, file e0c31c12-1192-4599-e053-1705fe0aef77
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53
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A methodology for the identification of the critical components of the electrical distribution network of cern’s large hadron collider, file e0c31c12-0d2f-4599-e053-1705fe0aef77
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49
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A method for inferring casual dependencies among abnormal behaviours of components in complex technical infrastructures, file e0c31c11-e76d-4599-e053-1705fe0aef77
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42
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A hybrid ensemble-based approach for process parameter estimation and degradation assessment in offshore oil platforms, file e0c31c09-70bc-4599-e053-1705fe0aef77
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41
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Genetic Algorithms for Grouping of Signals for System Monitoring and Diagnostics, file e0c31c0e-f8c7-4599-e053-1705fe0aef77
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39
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Guest Editorial, file e0c31c09-69ac-4599-e053-1705fe0aef77
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37
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A novel fault detection system taking into account uncertainties in the reconstructed signals, file e0c31c0d-d7e8-4599-e053-1705fe0aef77
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34
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Identification of critical components in the complex technical infrastructure of the large hadron collider using relief feature ranking and support vector machines, file e0c31c11-cd8b-4599-e053-1705fe0aef77
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33
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Bootstrapped ensemble of artificial neural networks technique for quantifying uncertainty in prediction of wind energy production, file e0c31c12-3523-4599-e053-1705fe0aef77
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30
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Deep reinforcement learning based on proximal policy optimization for the maintenance of a wind farm with multiple crews, file e0c31c12-21b6-4599-e053-1705fe0aef77
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27
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Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning, file e0c31c12-1de4-4599-e053-1705fe0aef77
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16
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Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors, file 31755c13-9823-436a-9138-827bd5d31987
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10
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A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty, file aaf06cde-d9d6-4b99-8ff5-30bc8dce785b
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10
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A semi-supervised method for the characterization of degradation of nuclear power plants steam generators, file e0c31c11-f832-4599-e053-1705fe0aef77
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10
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Extracting Fault Classification Rules from Fuzzy Clustering, file e0c31c0f-1b4b-4599-e053-1705fe0aef77
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9
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Association rules extraction for the identification of functional dependencies in complex technical infrastructures, file e0c31c11-f29e-4599-e053-1705fe0aef77
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9
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A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data, file e0c31c12-2484-4599-e053-1705fe0aef77
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8
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A multi-branch deep neural network model for failure prognostics based on multimodal data, file e0c31c12-104c-4599-e053-1705fe0aef77
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7
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A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures, file ca25d0db-5821-4b8f-93d2-ae3498c5feed
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6
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null, file e0c31c12-2067-4599-e053-1705fe0aef77
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6
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Dealing with uncertainty in modelling of wastewater disinfection by peracetic acid, file e0c31c0c-ec08-4599-e053-1705fe0aef77
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5
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A data-driven framework for identifying important components in complex systems, file e0c31c11-cbe2-4599-e053-1705fe0aef77
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5
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A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks, file e0c31c12-134b-4599-e053-1705fe0aef77
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5
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A novelty-based multi-objective evolutionary algorithm for identifying functional dependencies in complex technical infrastructures from alarm data, file a3304400-681d-42e9-b0d2-192ee1c8bb7f
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4
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A novel fault detection system taking into account uncertainties in the reconstructed signals, file e0c31c08-2111-4599-e053-1705fe0aef77
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2
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A Method based on Gaussian Process Regression for Modelling Burn-in of Semiconductor Devices, file 261ca4c9-cfe9-4615-977b-d0a0f6a08719
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1
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Deep Multi-adversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment, file 40c00392-2718-47d1-b3d9-4bcdaaf30e78
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1
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A comparison between extreme learning machine and artificial neural network for remaining useful life prediction, file e0c31c0b-1ec2-4599-e053-1705fe0aef77
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1
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Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0, file e0c31c10-250e-4599-e053-1705fe0aef77
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1
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Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants, file e0c31c10-6722-4599-e053-1705fe0aef77
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1
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A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider, file e0c31c10-6baf-4599-e053-1705fe0aef77
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1
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A novel method for maintenance record clustering and its application to a case study of maintenance optimization, file e0c31c10-7b16-4599-e053-1705fe0aef77
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1
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An unsupervised method for the reconstruction of maintenance intervention times, file e0c31c10-8536-4599-e053-1705fe0aef77
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1
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Data-driven extraction of association rules of dependent abnormal behaviour groups, file e0c31c10-8538-4599-e053-1705fe0aef77
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1
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Fault prognostics in presence of event-based measurements, file e0c31c10-a2c0-4599-e053-1705fe0aef77
|
1
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Data-driven identification of critical components in complex technical infrastructures using Bayesian additive regression trees, file e0c31c10-d6b1-4599-e053-1705fe0aef77
|
1
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| Totale |
10121 |