Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning
Ester Melo,
Julio Barzola-Monteses,
Holguer H. Noriega
et al.
Abstract:The growing energy demand and population raising require alternative, clean, and sustainable energy systems. During the last few years, hydrogen energy has proven to be a crucial factor under the current conditions. Although the energy conversion process in polymer electrolyte fuel cells (PEFCs) is clean and noiseless since the only by-products are heat and water, the inside phenomena are not simple. As a result, correct monitoring of the health situation of the device is required to perform efficiently. This … Show more
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