Fault-Diagnosis Applications Model-Based Condition Monitoring: Actua
Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes and vehicles in order to improve reliability, availability, maintenance and lifetime. For safety-related processes fau
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Rolf Isermann
Fault-Diagnosis Applications Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems
Prof. Dr. -Ing. Dr. h.c. Rolf Isermann Technische Universität Darmstadt Institut für Automatisierungstechnik Landgraf-Georg-Straße 4 64283 Darmstadt Germany [email protected]
ISBN 978-3-642-12766-3 e-ISBN 978-3-642-12767-0 DOI 10.1007/978-3-642-12767-0 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011926417 © Springer-Verlag Berlin Heidelberg 2011 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 to 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. Cover design: WMXDesign GmbH Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
With increasing demands for efficiency and product quality and progressing integration of automatic control systems in high-cost and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The classical method of supervision is to check the limits of single variables and alarming of operators. However, this can be improved significantly by taking into account the information hidden in all measurements and by automatic actions to keep the systems in operation. During the last few decades theoretical and experimental research has shown new ways to detect and diagnose faults. One distinguishes fault detection to recognize that a fault happened, and fault diagnosis to find the cause and location of the fault. Advanced methods of fault detection are based on mathematical signal and process models and on methods of system theory and process modeling to generate fault symptoms. Fault-diagnosis methods use causal fault–symptom relationships by applying methods from statistical decision, artificial intelligence and soft computing. Therefore, efficient supervision, fault detection and diagnosis is a challenging field encompassing physical-oriented system theory, experiments and computations. The considered subjects are also known as condition monitoring, fault detection and isolation (FDI) or fault detection and diagnosis (FDD). A further important field is fault management or asset management. This means to avoid shutdowns by early faul
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