Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Publication year: 2008
ISBN: 978-3-540-79872-9
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In this book, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.
Subject: Engineering, Adaptive Threshold, Approximation Abilities, Bopp2009, Decision Making, Dynamic Neuron Model, Experimental Design, Fault Diagnosis, Identification, Model Error Modelling, Modelling, Neural Networks, Non-Linear Systems, Recurrent Neural Networks, Robust Fa
