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

Material type

E-Book(소장)

Personal Author

Mrugalski, Marcin.

Title Statement

Advanced neural network-based computational schemes for robust fault diagnosis [electronic resource] / Marcin Mrugalski.

Publication, Distribution, etc

Cham : Springer International Publishing : Imprint: Springer, 2014.

Physical Medium

1 online resource (xxi, 182 p.).

Series Statement

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.

General Note

Title from e-Book title page.

Content Notes

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.

Bibliography, Etc. Note

Includes bibliographical references and index.

이용가능한 다른형태자료

Issued also as a book.

Subject Added Entry-Topical Term

Neural networks (Computer science). Fault location (Engineering). Robust control.

Short cut

URL

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020		▼a 9783319015477
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082	0 4	▼a 006.3/2 ▼2 23
084		▼a 006.32 ▼2 DDCK
090		▼a 006.32
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)

Holdings Information

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No.	Location	Call Number	Accession No.	Availability	Due Date	Make a Reservation	Service
No. 1	Location Main Library/e-Book Collection/	Call Number CR 006.32	Accession No. E14032229	Availability Loan can not(reference room)	Due Date	Make a Reservation	Service M

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

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