Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
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...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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.