Fault diagnosis of thermal management system in a polymer electrolyte membrane fuel cell

Energy ◽  
2021 ◽  
Vol 214 ◽  
pp. 119062
Author(s):  
Jin Young Park ◽  
In Seop Lim ◽  
Eun Jung Choi ◽  
Min Soo Kim
2013 ◽  
Vol 38 (20) ◽  
pp. 8422-8436 ◽  
Author(s):  
Alex Bates ◽  
Sunwook Hwang ◽  
Santanu Mukherjee ◽  
Sang C. Lee ◽  
Osung Kwon ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2777 ◽  
Author(s):  
Lei Mao ◽  
Lisa Jackson

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.


2021 ◽  
Vol 482 ◽  
pp. 228894
Author(s):  
Zhongyong Liu ◽  
Mengliu Pei ◽  
Qingbo He ◽  
Qiang Wu ◽  
Lisa Jackson ◽  
...  

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