Fault Detection and Analysis of Assemblies of Fuel Cells Using Image Processing
نویسندگان
چکیده
Fuel cell is one of the best alternatives of fossil energy. However, there are still two barriers: the durability and reliability, which block the wide application of fuel cells. To overcome these barriers, fault diagnosis is an efficient solution. This paper proposes a method for detection of common faults occurring in membrane electrode assemblies (MEA) of fuel cells using image processing tools for offline fault analysis. Keywords— Fuel cell, fault detection, image processing.
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