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

Fuel Cells ◽  
2016 ◽  
Vol 17 (2) ◽  
pp. 247-258 ◽  
Author(s):  
L. Mao ◽  
L. Jackson ◽  
S. Dunnett
Keyword(s):  
Fuel Cell ◽  
Fault Diagnosis ◽  
Polymer Electrolyte ◽  
Polymer Electrolyte Membrane ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Data Driven ◽  
Fuel Cell System ◽  
Electrolyte Membrane

scholarly journals Effect of Sensor Set Size on Polymer Electrolyte Membrane Fuel Cell Fault Diagnosis

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2777 ◽  
Author(s):  
Lei Mao ◽  
Lisa Jackson
Keyword(s):  
Fuel Cell ◽  
Fault Diagnosis ◽  
Polymer Electrolyte ◽  
Polymer Electrolyte Membrane ◽  
Principal Component ◽  
Cell Voltage ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Kernel Principal Component Analysis ◽  
Electrolyte Membrane

This paper presents a comparative study on the performance of different sizes of sensor sets on polymer electrolyte membrane (PEM) fuel cell fault diagnosis. The effectiveness of three sizes of sensor sets, including fuel cell voltage only, all the available sensors, and selected optimal sensors in detecting and isolating fuel cell faults (e.g., cell flooding and membrane dehydration) are investigated using the test data from a PEM fuel cell system. Wavelet packet transform and kernel principal component analysis are employed to reduce the dimensions of the dataset and extract features for state classification. Results demonstrate that the selected optimal sensors can provide the best diagnostic performance, where different fuel cell faults can be detected and isolated with good quality.

scholarly journals Research on the Fault Diagnosis of a Polymer Electrolyte Membrane Fuel Cell System

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2531
Author(s):  
Feng Han ◽  
Ying Tian ◽  
Qiang Zou ◽  
Xin Zhang
Keyword(s):  
Fuel Cell ◽  
Fault Diagnosis ◽  
Polymer Electrolyte Membrane ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Support Vector ◽  
Fuel Cell System ◽  
Electrolyte Membrane ◽  
Bee Colony ◽  
Original Dataset

In this work, the possibilistic fuzzy C-means clustering artificial bee colony support vector machine (PFCM-ABC-SVM) method is proposed and applied for the fault diagnosis of a polymer electrolyte membrane (PEM) fuel cell system. The innovation of this method is that it can filter data with Gaussian noise and diagnose faults under dynamic conditions, and the amplitude of characteristic parameters is reduced to ±10%. Under dynamic conditions with Gaussian noise, the faults of the PEM fuel cell system are simulated and the original dataset is established. The possibilistic fuzzy C-means (PFCM) algorithm is used to filter samples with membership and typicality less than 90% and to optimize the original dataset. The artificial bee colony (ABC) algorithm is used to optimize the penalty factor C and kernel function parameter g. Finally, the optimized support vector machine (SVM) model is used to diagnose the faults of the PEM fuel cell system. To illustrate the results of the fault diagnosis, a nonlinear PEM fuel cell simulator model which has been presented in the literature is used. In addition, the PFCM-ABC-SVM method is compared with other methods. The result shows that the method can diagnose faults in a PEM fuel cell system effectively and the accuracy of the testing set sample is up to 98.51%. When solving small-sized, nonlinear, high-dimensional problems, the PFCM-ABC-SVM method can improve the accuracy of fault diagnosis.

scholarly journals Enhancing polymer electrolyte membrane fuel cell system diagnostics through semantic modelling

2021 ◽  
Vol 163 ◽  
pp. 113550 ◽  
Author(s):  
E. Tsalapati ◽  
C.W.D. Johnson ◽  
T.W. Jackson ◽  
L. Jackson ◽  
D. Low ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Polymer Electrolyte ◽  
Polymer Electrolyte Membrane ◽  
Cell System ◽  
Fuel Cell System ◽  
Electrolyte Membrane ◽  
Semantic Modelling

Startup and Shutdown Study Applied in Polymer Electrolyte Membrane Fuel Cell System Operation

2020 ◽  
Vol MA2020-02 (34) ◽  
pp. 2183-2183
Author(s):  
Chunmei Wang ◽  
Mark Ricketts ◽  
Amir Peyman Soleymani ◽  
Jasna Jankovic ◽  
James Waldecker
Keyword(s):  
Fuel Cell ◽  
Polymer Electrolyte ◽  
Polymer Electrolyte Membrane ◽  
Cell System ◽  
Fuel Cell System ◽  
System Operation ◽  
Electrolyte Membrane

35-We polymer electrolyte membrane fuel cell system for notebook computer using a compact fuel processor

2008 ◽  
Vol 185 (1) ◽  
pp. 171-178 ◽  
Author(s):  
In-Hyuk Son ◽  
Woo-Cheol Shin ◽  
Yong-Kul Lee ◽  
Sung-Chul Lee ◽  
Jin-Gu Ahn ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Polymer Electrolyte ◽  
Polymer Electrolyte Membrane ◽  
Cell System ◽  
Fuel Cell System ◽  
Fuel Processor ◽  
Electrolyte Membrane ◽  
Notebook Computer
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