01480nas a2200313   4500008004100000020002000041245008500061210006900146260001800215520049000233653002500723653001900748653002000767653001800787653001400805653002600819653001900845653002100864653002700885653001700912653003400929653001200963653001500975100001600990700001601006700001501022700001501037856011401052       2017                        eng d  a978-150901338-800aFault detection and analysis of Kapton film in fuel cells using image processing0 aFault detection and analysis of Kapton film in fuel cells using   c28 April 20173 a<p>Fuel cell is one of the best alternatives of fossil energy in the modern scenario. But still there are some shortcomings such as 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 finding dimensional accuracies in Kapton films in membrane electrode assemblies (MEA) of fuel cells using image processing tools for offline fault analysis. © 2016 IEEE.</p>10aDimensional accuracy10aFault analysis10afault detection10aFossil energy10afuel cell10aGas fuel purification10aimage analysis10aImage processing10aImage processing tools10aKapton films10aMembrane electrode assemblies10aOffline10apolyimides1 aFirdous, R.1 aAherrao, S.1 aNarute, B.1 aBorkar, V.  uhttps://library.ncl.res.in/content/fault-detection-and-analysis-kapton-film-fuel-cells-using-image-processing