Fault Diagnosis of Practical Polymer Electrolyte Membrane (PEM) Fuel Cell System with Data-driven Approaches-Reference-Cited by-同舟云学术

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Fault Diagnosis of Practical Polymer Electrolyte Membrane (PEM) Fuel Cell System with Data-driven Approaches

Published:2016-11-24 Issue:2 Volume:17 Page:247-258
ISSN:1615-6846
Container-title:Fuel Cells
language:en
Short-container-title:Fuel Cells

Author:

Mao L.¹,Jackson L.¹,Dunnett S.¹

Affiliation:

1. Loughborough University; Department of Aeronautical and Automotive Engineering; LE11 3TU Leicestershire UK

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference36 articles.

1. A review on model-based diagnosis methodologies for PEMFCs

2. Fuel-Cell Parameter Estimation and Diagnostics

3. Model based PEM fuel cell state-of-health monitoring via ac impedance measurements

4. An Embedded Frequency Response Analyzer for Fuel Cell Monitoring and Characterization

5. Diagnosis of performance degradation phenomena in PEM fuel cells

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1. A data-driven method with sample entropy and CEEMDAN for short-term performance degradation prediction of dynamic hydrogen fuel cells;International Journal of Hydrogen Energy;2024-09

2. Spatial–temporal synchronous fault feature extraction and diagnosis for proton exchange membrane fuel cell systems;Energy Conversion and Management;2024-09

3. Fault diagnosis method of PEMFC system based on ensemble learning;International Journal of Hydrogen Energy;2024-06

4. Research of proton exchange membrane fuel cell degradation index and prediction method for automotive vehicles;Sustainable Energy Technologies and Assessments;2024-05

5. Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning;Energy Informatics;2024-02-26

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