W. O. L. Vianna, Ivo Paixão de Medeiros, Bernardo Santos Aflalo, Leonardo Ramos Rodrigues, Joao Pedro Pinheiro Malere
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This paper describes the application of the PHM concept to assess the State of Health (SoH) of a Proton Exchange Membrane Fuel Cell (PEMFC) as part of the IEEE PHM 2014 Data Challenge. Two regression approaches are used as health monitoring algorithms to estimate the impedance of the PEMFC. One was a linear regression and the other was a higher order polynomial regression combined with other function found on the literature. The linear regression presented the best results compared to the other method.
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