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[LNCIS 377] Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes [Lecture Notes in Control and Information Sciences] (Springer 2008).pdf

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[LNCIS 377] Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes [Lecture Notes in Control and Information Sciences] (Springer 2008).pdf

文档介绍

文档介绍:Lecture Notes
in Control and Information Sciences 377
Editors: M. Thoma, M. Morari
Krzysztof Patan
Artificial works for
the Modelling and Fault
Diagnosis of Technical
Processes
ABC
Series Advisory Board
F. Allgöwer, P. Fleming, P. Kokotovic,
. Kurzhanski, H. Kwakernaak,
A. Rantzer, . Tsitsiklis
Author
Krzysztof Patan
University of Zielona Góra
Inst. Control and
Computation Engineering
ul. Podgórna 50
65-246 Zielona Góra
Poland
E-Mail: K.******@
ISBN 978-3-540-79871-2 e-ISBN 978-3-540-79872-9
DOI -3-540-79872-9
Lecture Notes in Control and Information Sciences ISSN 0170-8643
Library of Congress Control Number: 2008926085
c 2008 Springer-Verlag Berlin Heidelberg
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,
reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or
parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in
its current version, and permission for use must always be obtained from Springer. Violations are liable for
prosecution under the German Copyright Law.
The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply,
even in the absence of a specific statement, that such names are exempt from the relevant protective laws and
regulations and therefore free for general use.
Typeset & Cover Design: Scientific Publishing Services Pvt. Ltd., Chennai, India.
Printed in acid-free paper
543210
To my beloved wife Agnieszka,
and children Weronika and Leonard,
for their patience and tolerance
Foreword
An unappealing characteristic of all real-world systems is the fact that they are
vulnerable to faults, malfunctions and, more generally, unexpected modes of be-
haviour. This ex