Multiple Failure Prognosis for Hybrid Systems
Diagnosis and prognosis are two important aspects in condition-based maintenance. Diagnosis is posterior event analysis and prognosis is prior event analysis. Prognosis is much more efficient than diagnostics to achieve zero-downtime performance. This is
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Model-based Health Monitoring of Hybrid Systems
Model-based Health Monitoring of Hybrid Systems
Danwei Wang Ming Yu Chang Boon Low Shai Arogeti •
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Model-based Health Monitoring of Hybrid Systems
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Shai Arogeti Ben-Gurion University of the Negev Beer-Sheva Israel
Danwei Wang Ming Yu Chang Boon Low Nanyang Technological University Singapore
ISBN 978-1-4614-7368-8 DOI 10.1007/978-1-4614-7369-5
ISBN 978-1-4614-7369-5
(eBook)
Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2013935993 Ó Springer Science+Business Media New York 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
As the complexity of industrial systems increases, fault diagnosis and failure prognosis become more and more important since they are crucial means to maintain system safety and reliability. Many manmade systems, such as printers, converters, and automobiles, can be modeled as hybrid systems. These systems consist of interacting continuous and discrete parts. Monitoring of hybrid system requires estimation of continuous state variables as well as tracking discrete states, and more difficulties are involved due to the mode-varying nature of hybrid system. In the past two decades, there were several efforts for diagnosis of hybrid syste
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