4.6 Article

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

Journal

SENSORS
Volume 18, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/s18092777

Keywords

PEM fuel cell; sensor selection; fault diagnosis; sensor set size effect; wavelet packet transform

Funding

  1. UK Engineering and Physical Sciences Research Council (EPSRC) [EP/K02101X/1]
  2. Hundreds of Talents Program of Chinese Academy of Sciences-Young Talents
  3. EPSRC [EP/K02101X/1] Funding Source: UKRI
  4. Engineering and Physical Sciences Research Council [EP/K02101X/1] Funding Source: researchfish

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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.

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