The design of classifiers for condition monitoring and fault diagnosis applications
Firstly, the thesis addresses the problem caused by the limited availability of data for some classes (particularly fault classes), for supervised neural networks. Two novel techniques are developed to deal with this problem. The first of these techniques, referred to here as the 'Equal-Weighta...
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University of Leicester
2001
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.696975 |