Application of quantitative risk assessment for performance-based permitting of hydrogen fueling stations
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March 2017 |
Hydrogen storage and delivery: Review of the state of the art technologies and risk and reliability analysis
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May 2019 |
HyRAM: A methodology and toolkit for quantitative risk assessment of hydrogen systems
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March 2017 |
A dynamic risk model to analyze hydrogen infrastructure
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January 2021 |
An integrated approach for safer and economical design of Hydrogen refueling stations
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November 2020 |
Remaining useful life prediction based on a multi-sensor data fusion model
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April 2021 |
Prognostics and health management: A review from the perspectives of design, development and decision
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January 2022 |
Quantitative risk assessment of an urban hydrogen refueling station
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January 2019 |
Quantitative risk assessment of the interior of a hydrogen refueling station considering safety barrier systems
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August 2019 |
Quantitative risk assessment using a Japanese hydrogen refueling station model
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February 2021 |
Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data
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September 2019 |
Machine learning methods for wind turbine condition monitoring: A review
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April 2019 |
Feature Selection Algorithms for Wind Turbine Failure Prediction
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January 2019 |
Fault detection and diagnosis methods for photovoltaic systems: A review
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August 2018 |
Fault detection and diagnosis for large solar thermal systems: A review of fault types and applicable methods
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February 2020 |
A review on prognostics and health management (PHM) methods of lithium-ion batteries
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December 2019 |
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries
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April 2021 |
A review of the state of health for lithium-ion batteries: Research status and suggestions
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July 2020 |
State-of-Health Prediction for Lithium-Ion Batteries Based on a Novel Hybrid Approach
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September 2020 |
Data-based short-term prognostics for proton exchange membrane fuel cells
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August 2017 |
A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell
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July 2018 |
Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks
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February 2019 |
Degradation prediction of PEM fuel cell based on artificial intelligence
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May 2020 |
Remaining useful life prediction of PEMFC systems based on the multi-input echo state network
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May 2020 |
Efficient fault diagnosis method of PEMFC thermal management system for various current densities
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January 2021 |
Performance degradation prediction of proton exchange membrane fuel cell using a hybrid prognostic approach
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November 2020 |
A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction
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January 2021 |
An online prognostics-based health management strategy for fuel cell hybrid electric vehicles
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April 2021 |
A novel degradation model of proton exchange membrane fuel cells for state of health estimation and prognostics
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September 2021 |
Data requirements for improving the Quantitative Risk Assessment of liquid hydrogen storage systems
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January 2022 |
Predictive maintenance in the Industry 4.0: A systematic literature review
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journal
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December 2020 |
Toward a methodology of requirements definition for prognostics and health management system to support aircraft predictive maintenance
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July 2020 |
A systematic methodology for Prognostic and Health Management system architecture definition
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January 2020 |
Modernizing risk assessment: A systematic integration of PRA and PHM techniques
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December 2020 |
Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems
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June 2021 |
Condition-Based Maintenance with Reinforcement Learning for Dry Gas Pipeline Subject to Internal Corrosion
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October 2020 |
Operation scheduling in a solar thermal system: A reinforcement learning-based framework
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June 2020 |
Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
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February 2022 |
Deep learning and its applications to machine health monitoring
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January 2019 |
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
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January 2022 |
A survey on decision-making based on system reliability in the context of Industry 4.0
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journal
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July 2020 |
A review on the application of deep learning in system health management
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July 2018 |
Potential, challenges and future directions for deep learning in prognostics and health management applications
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June 2020 |
Applications of machine learning to machine fault diagnosis: A review and roadmap
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April 2020 |
A Review on Deep Learning Applications in Prognostics and Health Management
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January 2019 |
Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft
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April 2020 |
Prediction of flow blockages and impending cavitation in centrifugal pumps using Support Vector Machine (SVM) algorithms based on vibration measurements
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December 2018 |
Leak detection of gas pipelines using acoustic signals based on wavelet transform and Support Vector Machine
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November 2019 |
A new online approach for classification of pumps vibration patterns based on intelligent IoT system
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February 2020 |
Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder
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August 2020 |
Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images
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October 2020 |
Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery
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February 2020 |
Industrial data management strategy towards an SME-oriented PHM
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July 2020 |
Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
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July 2020 |
Layout Optimization of Multi-Type Sensors and Human Inspection Tools With Probabilistic Detection of Localized Damages for Pipelines
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January 2020 |
Prognostics and Health Management: A Review on Data Driven Approaches
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January 2015 |
Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings
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January 2017 |
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models
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April 2019 |
A review on machinery diagnostics and prognostics implementing condition-based maintenance
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October 2006 |
Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications
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May 2021 |
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
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October 2021 |
Effects of the pre-processing algorithms in fault diagnosis of wind turbines
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December 2018 |
A new dynamic predictive maintenance framework using deep learning for failure prognostics
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August 2019 |
A novel acoustic emission detection module for leakage recognition in a gas pipeline valve
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journal
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January 2017 |
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
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journal
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October 2020 |
Hierarchical deep convolution neural networks based on transfer learning for transformer rectifier unit fault diagnosis
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January 2021 |
Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions
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March 2020 |
Machine Learning Interpretability: A Survey on Methods and Metrics
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July 2019 |
Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks
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September 2021 |
Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables
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May 2021 |
Risk-informed process and tools for permitting hydrogen fueling stations
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journal
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July 2009 |
Damage localization in hydrogen storage vessel by guided waves based on a real-time monitoring system
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August 2019 |
Beyond the hype: Big data concepts, methods, and analytics
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April 2015 |
Assessment of Deep Learning techniques for Prognosis of solar thermal systems
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January 2020 |
Pure and Pseudo-pure Fluid Thermophysical Property Evaluation and the Open-Source Thermophysical Property Library CoolProp
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January 2014 |
The OpenModelica Integrated Environment for Modeling, Simulation, and Model-Based Development
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January 2020 |
Harmonising and integrating the Digital Twins multiverse: A paradigm and a toolset proposal
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November 2021 |
Digital twin, physics-based model, and machine learning applied to damage detection in structures
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June 2021 |