Fault diagnosis has been considered as a critical solution for improving the reliability of
proton exchange membrane fuel cell (PEMFC) system. This study proposes an efficient …

This paper proposes a novel approach for fault diagnosis of polymer electrolyte membrane
fuel cell (PEMFC) with two-dimension (2D) image data, and investigates its effectiveness of …

The monitoring of engineering systems is becoming more common place because of the
increasing demands on reliability and safety. Being able to diagnose a fault has been …

In this study, a sensor selection technique is proposed to identify various system faults
including polymer electrolyte membrane (PEM) fuel cell stack faults and faults of ancillary …

In this paper, sensor selection algorithms are investigated based on a sensitivity analysis,
and the capability of optimal sensors in predicting PEM fuel cell performance is also studied …

Transformer is extensively employed in natural language processing, and computer vision
(CV), with the self-attention structure. Due to its outstanding long-range dependency …

In this study, we present the optimization of end plates to produce uniform pressure and low
content on the gas diffusion layer in polymer membrane fuel cell. For this purpose the end …

Considering the fact that various features can be used in proton exchange membrane fuel
cell (PEMFC) fault diagnosis, while the lack of feature evaluation method brings great …

The study represents an analysis of several parameters of fluctuating signal quality, which
has not been previously carried out. H2O and H2O materials mixed with NaOH have …

This paper investigates effectiveness of various features in fault diagnosis of polymer
electrolyte membrane fuel cell (PEMFC) system, including RMSF (root mean square …