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    Classification and Fault Detection Methods for Fuel Cell Monitoring and Quality Control 

    Source: Journal of Fuel Cell Science and Technology:;2013:;volume( 010 ):;issue: 002:;page 21002
    Author(s): Lowery, Natalie L. H.; Vahdati, Maria M.; Potthast, Roland W. E.; Holderbaum, William
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, various types of fault detection methods for fuel cells are compared. For example, those that use a model based approach or a data driven approach or a combination of the two. The potential advantages and ...
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