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Advanced neural network-based computational schemes for robust fault diagnosis [electronic resource]

Advanced neural network-based computational schemes for robust fault diagnosis [electronic resource]

자료유형
E-Book(소장)
개인저자
Mrugalski, Marcin.
서명 / 저자사항
Advanced neural network-based computational schemes for robust fault diagnosis [electronic resource] / Marcin Mrugalski.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
형태사항
1 online resource (xxi, 182 p.).
총서사항
Studies in computational intelligence,1860-949X ; 510
ISBN
9783319015477
요약
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 fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Neural networks (Computer science). Fault location (Engineering). Robust control.
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100 1 ▼a Mrugalski, Marcin.
245 1 0 ▼a Advanced neural network-based computational schemes for robust fault diagnosis ▼h [electronic resource] / ▼c Marcin Mrugalski.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xxi, 182 p.).
490 1 ▼a Studies in computational intelligence, ▼x 1860-949X ; ▼v 510
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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.
520 ▼a 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 fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Neural networks (Computer science).
650 0 ▼a Fault location (Engineering).
650 0 ▼a Robust control.
830 0 ▼a Studies in computational intelligence ; ▼v v. 510.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-01547-7
945 ▼a KLPA
991 ▼a E-Book(소장)

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