Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

• Main Author: Mrugalski, Marcin (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Studies in Computational Intelligence, 510
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Complexity, Computational.; Control engineering.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Complexity.; Control.

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on...

Table of Contents:

• Introduction
• Designing of dynamic neural networks
• Estimation methods in training of ANNs for robust fault diagnosis
• MLP in robust fault detection of static non-linear systems
• GMDH networks in robust fault detection of dynamic non-linear systems
• State-space GMDH networks for actuator robust FDI.