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Performance degradation prediction of proton exchange membrane fuel cell using a hybrid prognostic approach
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Proton Exchange Membrane Fuel Cell Prognostics Using Genetic Algorithm and Extreme Learning Machine
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Time Series Analysis: With Applications in R
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Data-driven proton exchange membrane fuel cell degradation predication through deep learning method
inferredcites →https://doi.org/10.1016/j.apenergy.2019.01.023openalex-snapshot
Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method
inferredcites →https://doi.org/10.1016/j.apenergy.2019.113707openalex-snapshot
Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine
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Power capability prediction for lithium-ion batteries based on multiple constraints analysis
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Forecasting hourly global solar radiation using hybrid k-means and nonlinear autoregressive neural network models
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A reconstructed fuel cell life-prediction model for a fuel cell hybrid city bus
inferredcites →https://doi.org/10.1016/j.enconman.2019.02.031openalex-snapshot
A novel diagnostic methodology for fuel cell stack health: Performance, consistency and uniformity
inferredcites →https://doi.org/10.1016/j.enconman.2019.05.045openalex-snapshot
Degradation prediction of proton exchange membrane fuel cell based on grey neural network model and particle swarm optimization
inferredcites →https://doi.org/10.1016/j.enconman.2019.112022openalex-snapshot
A review of polymer electrolyte membrane fuel cell durability for vehicular applications: Degradation modes and experimental techniques
inferredcites →https://doi.org/10.1016/j.energy.2017.07.096openalex-snapshot
Degradation prediction of PEM fuel cell using a moving window based hybrid prognostic approach
inferredcites →https://doi.org/10.1016/j.energy.2020.118185openalex-snapshot
Health degradation assessment of proton exchange membrane fuel cell based on an analytical equivalent circuit model
inferredcites →https://doi.org/10.1016/j.ifacol.2016.11.028openalex-snapshot
Some Improvements of Particle Filtering Based Prognosis for PEM Fuel Cells
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Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic
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Estimating equivalent circuit parameters of proton exchange membrane fuel cell using the current change method
inferredcites →https://doi.org/10.1016/j.ijhydene.2011.11.092openalex-snapshot
State-of-health diagnosis based on hamming neural network using output voltage pattern recognition for a PEM fuel cell
inferredcites →https://doi.org/10.1016/j.ijhydene.2013.09.051openalex-snapshot
Prognostics and Health Management of PEMFC – State of the art and remaining challenges
inferredcites →https://doi.org/10.1016/j.ijhydene.2013.10.054openalex-snapshot
Prognostics of PEM fuel cell in a particle filtering framework
inferredcites →https://doi.org/10.1016/j.ijhydene.2014.05.005openalex-snapshot
Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference Systems
inferredcites →https://doi.org/10.1016/j.ijhydene.2015.04.099openalex-snapshot
Proton exchange membrane fuel cell behavioral model suitable for prognostics
inferredcites →https://doi.org/10.1016/j.ijhydene.2016.05.229openalex-snapshot
Membrane degradation model for 3D CFD analysis of fuel cell performance as a function of time
inferredcites →https://doi.org/10.1016/j.ijhydene.2017.02.146openalex-snapshot
Load profile based empirical model for the lifetime prediction of an automotive PEM fuel cell
inferredcites →https://doi.org/10.1016/j.ijhydene.2018.04.160openalex-snapshot
A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell
inferredcites →https://doi.org/10.1016/j.ijhydene.2018.11.100openalex-snapshot
Fuel cell health prognosis using Unscented Kalman Filter: Postal fuel cell electric vehicles case study
inferredcites →https://doi.org/10.1016/j.ijhydene.2020.02.085openalex-snapshot
Aging prognosis model of proton exchange membrane fuel cell in different operating conditions
inferredcites →https://doi.org/10.1016/j.ijhydene.2020.03.209openalex-snapshot
Degradation prediction of PEM fuel cell based on artificial intelligence
inferredcites →https://doi.org/10.1016/j.ijhydene.2020.04.236openalex-snapshot
Research and development of on-board hydrogen-producing fuel cell vehicles
inferredcites →https://doi.org/10.1016/j.jpowsour.2015.11.087openalex-snapshot
An adaptive remaining energy prediction approach for lithium-ion batteries in electric vehicles
inferredcites →https://doi.org/10.1016/j.jpowsour.2016.07.018openalex-snapshot
Proton exchange membrane fuel cell model for aging predictions: Simulated equivalent active surface area loss and comparisons with durability tests
inferredcites →https://doi.org/10.1016/j.jpowsour.2017.05.102openalex-snapshot
Degradation forecast for PEMFC cathode-catalysts under cyclic loads
inferredcites →https://doi.org/10.1016/j.jpowsour.2019.226916openalex-snapshot
A multi-scale hybrid degradation index for proton exchange membrane fuel cells
inferredcites →https://doi.org/10.1016/j.ress.2015.12.003openalex-snapshot
Degradations analysis and aging modeling for health assessment and prognostics of PEMFC
inferredcites →https://doi.org/10.1016/j.rser.2016.11.009openalex-snapshot
A review on prognostics and health monitoring of proton exchange membrane fuel cell
inferredcites →https://doi.org/10.1016/j.rser.2020.109721openalex-snapshot
Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review
inferredcites →https://doi.org/10.1016/j.ymssp.2019.01.060openalex-snapshot
An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells
inferredcites →https://doi.org/10.1109/icphm.2014.7036363openalex-snapshot
Prognostics of Proton Exchange Membrane Fuel Cell stack in a particle filtering framework including characterization disturbances and voltage recovery
inferredcites →https://doi.org/10.1109/tec.2016.2582531openalex-snapshot
Nonlinear Performance Degradation Prediction of Proton Exchange Membrane Fuel Cells Using Relevance Vector Machine
inferredcites →https://doi.org/10.1109/tia.2017.2680406openalex-snapshot
Degradation Prediction of PEM Fuel Cell Stack Based on Multiphysical Aging Model With Particle Filter Approach
inferredcites →https://doi.org/10.1109/tie.2015.2412519openalex-snapshot
A Control-Oriented Model of a PEM Fuel Cell Stack Based on NARX and NOE Neural Networks
inferredcites →https://doi.org/10.1109/tie.2016.2547358openalex-snapshot
Wavelets-based approach for online Fuel Cells Remaining Useful lifetime Prediction
inferredcites →https://doi.org/10.1109/tie.2019.2893827openalex-snapshot
Adaptive Prognostic of Fuel Cells by Implementing Ensemble Echo State Networks in Time-Varying Model Space
inferredcites →https://doi.org/10.36001/ijphm.2014.v5i1.2203openalex-snapshot
Prognostic-oriented Fuel Cell Catalyst Aging Modeling and Its Application to Health-Monitoring and Prognostics of a PEM Fuel Cell
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Performance Decay Prediction Model of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Gate Recurrent Unit (基于粒子群优化和栅极循环单元的质子交换膜燃料电池性能衰减预测模型)
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Performance Decay Prediction Model of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Gate Recurrent Unit
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Performance Decay Prediction Model of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Gate Recurrent Unit
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Multi‐step performance degradation prediction method for proton‐exchange membrane fuel cell stack using 1D convolution layer and CatBoost
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Multihead Attention‐Driven TimeGAN‐GRU Hybrid Framework for PEMFC Stack Power Prediction
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Performance evaluation of two proton exchange membrane and alkaline fuel cells for use in UAVs by investigating the effect of operating altitude
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Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions
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A Robust Prognostic Indicator for Renewable Energy Fuel Cells: A Hybrid Data-Driven Prediction Approach
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Investigating Membrane Degradation in Low-Temperature Proton Exchange Membrane Fuel Cell (PEMFC)
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Degradation Characteristics Prediction for Vehicle PEM Fuel Cell Stack Using a Fusion Prognostic Approach
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Cost analysis using hybrid gazelle and seagull optimization for home energy management system
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State of health prediction for proton exchange membrane fuel cells using multi-scale indicators
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Research on fuel cell remaining useful life prediction based on bayesian-optimized CNN-BiLSTM-attention model
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Adaptive Energy Optimization Based on Fuel Cell Degradation Prediction for Fuel Cell Hybrid Electric Vehicles
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Enabling real-time optimization of dynamic processes of proton exchange membrane fuel cell: Data-driven approach with semi-recurrent sliding window method
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A short- and long-term prognostic associating with remaining useful life estimation for proton exchange membrane fuel cell
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Durability estimation and short-term voltage degradation forecasting of vehicle PEMFC system: Development and evaluation of machine learning models
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Efficient degradation prediction of PEMFCs using ELM-AE based on fuzzy extension broad learning system
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A novel generalized prognostic method of proton exchange membrane fuel cell using multi-point estimation under various operating conditions
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Integrating in-situ monitored membrane electrode assembly parameters with external characteristics for cross-scale durability evaluation of proton exchange membrane fuel cell
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Evolution characteristics of multi-physical fields distributions during the whole life cycle of PEMFC
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Advanced control strategies for fuel cell hybrid electric vehicles — A review
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Durability and prognostic modelling of low-temperature polymer electrolyte membrane fuel cells in maritime applications: A review
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Machine learning and Bayesian optimization for performance prediction of proton-exchange membrane fuel cells
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Performance degradation prediction of proton exchange membrane fuel cells based on CNN-LSTM network with squeeze-and-excitation attention mechanism
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Reliable cross-domain lifetime prediction for fuel cells: A time-frequency fusion transfer learning architecture
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Hybrid AI framework for fault detection and optimization in PEMFC
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A systematic review of system modeling and control strategy of proton exchange membrane fuel cell
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Transfer learning-based deep learning models for proton exchange membrane fuel remaining useful life prediction
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Low-frequency Consensus knowledge Transfer in PEM Fuel Cells for Cross-Domain Online Voltage Degradation Prediction
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Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter
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Platinum degradation mechanisms in proton exchange membrane fuel cell (PEMFC) system: A review
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A family of high gain fuel cell front-end converters with low input current ripple for PEMFC power conditioning systems
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Nafion degradation mechanisms in proton exchange membrane fuel cell (PEMFC) system: A review
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Opportunities and data requirements for data-driven prognostics and health management in liquid hydrogen storage systems
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Degradation prediction of proton exchange membrane fuel cell based on Bi-LSTM-GRU and ESN fusion prognostic framework
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Optimization of block structure parameters of PEMFC novel block channels using artificial neural network
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A novel online degradation model for proton exchange membrane fuel cell based on online transfer learning
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An interpretable data-driven method for degradation prediction of proton exchange membrane fuel cells based on temporal fusion transformer and covariates
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Accurate long-term prognostics of proton exchange membrane fuel cells using recurrent and convolutional neural networks
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Numerical analysis of PEMFC stack performance degradation using an empirical approach
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Accuracy improvement of fuel cell prognostics based on voltage prediction
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Generative adversarial networks for stack voltage degradation and RUL estimation in PEMFCs under static and dynamic loads
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A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
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Enhanced performance prediction for proton exchange membrane fuel cells: A comprehensive study with different load profiles
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Constraint relaxation active thermal management strategy under multi-source perturbations to enhance fuel cell vehicle's output power and voltage consistency
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Remaining useful life prediction of PEMFC based on matrix long short-term memory
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Application of a multi-sample-driven fuel cell performance degradation prediction model based on transformer and transfer learning under unseen operating conditions
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Recoverable fault behavior oriented diagnostic-prognostic hybrid framework for proton exchange membrane fuel cells
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A review on lifetime prediction of proton exchange membrane fuel cells system
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Health state monitoring and predicting of proton exchange membrane fuel cells: A review
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Comparing PEMFC state-of-health characteristics obtained by Galvanostatic Charge Method with and without nitrogen flush
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Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives
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Performance Degradation Decomposition-Ensemble Prediction of Pemfc Using Ceemdan and Dual Data-Driven Model
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Degradation prediction of proton exchange membrane fuel cells with model uncertainty quantification
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Water saturation distribution in a PEMFC at the cathode side using OpenFOAM
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Degradation prediction of proton exchange membrane fuel cell using a novel neuron-fuzzy model based on light spectrum optimizer
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Accurate long-step degradation trends prediction and remaining useful life estimation for proton exchange membrane fuel cells
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Recovery-aware PEMFC prognostics for reliable electricity generation in renewable hydrogen systems: a multi-scale hybrid framework
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Degradation prediction and remaining useful life estimation of PEMFCs: Mechanisms, methods, datasets, and challenges
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Hydrogen as the nexus of future sustainable transport and energy systems
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Remaining useful life prediction of PEMFC based on CNN-Birnn model
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Interpretable degradation forecasting of fuel cells under steady, quasi-dynamic and dynamic conditions: An ALA optimized TimesNet model based on ICEEMDAN decomposition
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Performance degradation trend prediction of proton exchange membrane fuel cell based on GA-TCN
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A Review of Degradation Prediction Methods for Proton Exchange Membrane Fuel Cells
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Degradation Prediction of Proton Exchange Membrane Fuel Cells Based on ITransformer
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Data-Driven Performance Degradation Prediction of PEM Fuel Cell using Bi-GRU
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Comparison of Degradation Prediction Methods for Proton Exchange Membrane Fuel Cell
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Artificial Neural Network Based Holistic Approach in Energy Management Controllers for Fuel Cell Hybrid Electric Vehicles
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Hybrid Physics-Based and Data-Driven Prognostic for PEM Fuel Cells Considering Voltage Recovery
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Predictive Hybrid Model for Enhanced Remaining Useful Life Estimation of PEM Fuel Cells
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Health State Estimation and Long-Term Durability Prediction for Vehicular PEM Fuel Cell Stacks Under Dynamic Operational Conditions
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A Hybrid Prognostic Method for PEMFC With Aging Parameter Prediction
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A Hybrid Health Prognostics Method for Proton Exchange Membrane Fuel Cells With Internal Health Recovery
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A Degradation Prediction Method for PEM Fuel Cell Based on Deep Temporal Feature Extraction and Transfer Learning
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Remaining-Useful-Lifetime Prediction of Proton Exchange Membrane Fuel Cell Considering Model Uncertainty Quantification on the Full-Time Scale
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Experimental Research on Proton Exchange Membrane Fuel Cell Durability Considering Degradation Driving Cycle and Temperature
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Aging Prediction of Proton Exchange Membrane Fuel Cells Using Bayesian-optimized CNN-BiLSTM-Attention Networks
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Physical Model–Guided Data-Driven Approach for Degradation Prognostics of Rotating Electrical Machine Installed in Shore Marine Environment
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PEMFC Performance Forecasting Based on XGBRegressor and Tree-Structured Parzen
inferred← citeshttps://doi.org/10.23919/ccc52363.2021.9549420openalex-snapshot
A hybrid method for estimation of PEMFC state of health
inferred← citeshttps://doi.org/10.23919/eusipco63174.2024.10715402openalex-snapshot
Tight Hybridization of Long Short-Term Memory Neural Networks and Robust Kalman Filter for Remaining Useful Life Estimation of Proton Exchange Membrane Fuel Cells
inferred← citeshttps://doi.org/10.32447/20786662.41.2022.06openalex-snapshot
АНАЛІЗ ПОЖЕЖНОЇ НЕБЕЗПЕКИ ВИТОКУ ВОДНЮ З ЕЛЕКТРОМОБІЛІВ НА ПАЛИВНИХ ЕЛЕМЕНТАХ
inferred← citeshttps://doi.org/10.33042/2522-1809-2023-1-175-118-124openalex-snapshot
FEATURES OF FIRE IN ELECTRIC VEHICLES ON HYDROGEN FUEL CELLS
inferred← citeshttps://doi.org/10.3390/electronics13122335openalex-snapshot
A Compound Framework for Forecasting the Remaining Useful Life of PEMFC
inferred← citeshttps://doi.org/10.3390/en14206526openalex-snapshot
A Multi-Stage Fault Diagnosis Method for Proton Exchange Membrane Fuel Cell Based on Support Vector Machine with Binary Tree
inferred← citeshttps://doi.org/10.3390/en15134844openalex-snapshot
A Short-Term and Long-Term Prognostic Method for PEM Fuel Cells Based on Gaussian Process Regression
inferred← citeshttps://doi.org/10.3390/en16124772openalex-snapshot
A Comprehensive Review of Degradation Prediction Methods for an Automotive Proton Exchange Membrane Fuel Cell
inferred← citeshttps://doi.org/10.3390/en16237750openalex-snapshot
Research Progress on Aging Prediction Methods for Fuel Cells: Mechanism, Methods, and Evaluation Criteria
inferred← citeshttps://doi.org/10.3390/en18082117openalex-snapshot
Mechanisms and Modelling of Effects on the Degradation Processes of a Proton Exchange Membrane (PEM) Fuel Cell: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/en18123177openalex-snapshot
Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model
inferred← citeshttps://doi.org/10.3390/ma17194713openalex-snapshot
A Multi-Feature Fusion Method for Life Prediction of Automotive Proton Exchange Membrane Fuel Cell Based on TCN-GRU
inferred← citeshttps://doi.org/10.3390/math12192959openalex-snapshot
Machine Learning Prediction of Fuel Cell Remaining Life Enhanced by Variational Mode Decomposition and Improved Whale Optimization Algorithm
inferred← citeshttps://doi.org/10.3390/membranes13040426openalex-snapshot
A Hybrid Method for Performance Degradation Probability Prediction of Proton Exchange Membrane Fuel Cell
inferred← citeshttps://doi.org/10.3390/s23010166openalex-snapshot
A Hybrid Prognostic Method for Proton-Exchange-Membrane Fuel Cell with Decomposition Forecasting Framework Based on AEKF and LSTM
inferred← citeshttps://doi.org/10.3390/su14169842openalex-snapshot
A Review of Life Prediction Methods for PEMFCs in Electric Vehicles
inferred← citeshttps://doi.org/10.3390/wevj13090172openalex-snapshot
Fuel Cell Hybrid Electric Vehicles: A Review of Topologies and Energy Management Strategies
inferred← citeshttps://doi.org/10.4271/2023-01-7001openalex-snapshot
A Novel Hybrid Method Based on the Sliding Window Method for the Estimation of the State of Health of the Proton Exchange Membrane Fuel Cell
inferred← citeshttps://doi.org/10.7316/jhne.2025.36.5.569openalex-snapshot
Performance Prediction and Degradation Diagnosis of PEM Fuel Cells Applied to Buildings Using the Modified Extended Kalman Filter
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