The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of
applications, including positioning and navigation, sensor networks, battery management …

Proton exchange membrane fuel cells offer a sustainable solution to electrical power
generation and combined power and heat applications, even if they still encounter durability …

Degradation prediction of proton exchange membrane fuel cell (PEMFC) is critical for
optimizing fuel cell operation and extending its lifetime, facilitating its large-scale …

The proton exchange membrane fuel cell (PEMFC) is a promising power source, but the
short lifespan and high maintenance cost restrict its development and widespread …

Existing health prognostics methods often omit the internal health recovery of proton
exchange membrane fuel cells (PEMFCs), although this phenomenon commonly exists …

This paper designed and defined the framework of prescriptive maintenance and its four
axes, for hydrogen-energy systems, considering the constraints of actual systems, to …

Enhancing the supply of power in terms of availability, dependability, and security are the
current goals of the electricity industry. Incorporating renewable energy sources (RES) into …

For mitigating global warming, polymer electrolyte membrane fuel cells have become
promising, clean, and sustainable alternatives to existing energy sources. To increase the …

This article presents a methodology that aims to model and to provide predictive capabilities
for the lifetime of Proton Exchange Membrane Fuel Cell (PEMFC). The approach integrates …

As part of industry 4.0, predictive maintenance aims to achieve the best compromise
between risk prevention and repair costs. It leverages diagnostic and prognostic methods …