<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Firdous, R.</style></author><author><style face="normal" font="default" size="100%">Aherrao, S.</style></author><author><style face="normal" font="default" size="100%">Narute, B.</style></author><author><style face="normal" font="default" size="100%">Borkar, V.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fault detection and analysis of Kapton film in fuel cells using image processing</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Computing, Analytics and Security Trends, CAST 2016</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Dimensional accuracy</style></keyword><keyword><style  face="normal" font="default" size="100%">Fault analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">fault detection</style></keyword><keyword><style  face="normal" font="default" size="100%">Fossil energy</style></keyword><keyword><style  face="normal" font="default" size="100%">fuel cell</style></keyword><keyword><style  face="normal" font="default" size="100%">Gas fuel purification</style></keyword><keyword><style  face="normal" font="default" size="100%">image analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Image processing</style></keyword><keyword><style  face="normal" font="default" size="100%">Image processing tools</style></keyword><keyword><style  face="normal" font="default" size="100%">Kapton films</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane electrode assemblies</style></keyword><keyword><style  face="normal" font="default" size="100%">Offline</style></keyword><keyword><style  face="normal" font="default" size="100%">polyimides</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">28 April 2017</style></date></pub-dates></dates><isbn><style face="normal" font="default" size="100%">978-150901338-8</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract><custom3><style face="normal" font="default" size="100%">Indian </style></custom3></record></records></xml>