Artificial neural networks for the Modelling and Fault Diagnosis of Technical Processes

Artificial neural networks for the Modelling and Fault Diagnosis of Technical Processes

Author
Krzysztof Patan
Publication Year
2008
Publisher
Springer
Language
English
Document Type
Book
Faculty / Subject Heading
Engineering

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.


Keywords: 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