Performance Assessment for Process Monitoring and Fault Detection Methods
The objective of Kai Zhang and his research is to assess the existing process monitoring and fault detection (PM-FD) methods. His aim is to provide suggestions and guidance for choosing appropriate PM-FD methods, because the performance assessment study f
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Performance Assessment for Process Monitoring and Fault Detection Methods
Performance Assessment for Process Monitoring and Fault Detection Methods
Kai Zhang
Performance Assessment for Process Monitoring and Fault Detection Methods
Kai Zhang Duisburg, Germany Dissertation, Duisburg-Essen University, 2016
ISBN 978-3-658-15970-2 ISBN 978-3-658-15971-9 (eBook) DOI 10.1007/978-3-658-15971-9 Library of Congress Control Number: 2016954529 Springer Vieweg © Springer Fachmedien Wiesbaden GmbH 2016 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer Vieweg imprint is published by Springer Nature The registered company is Springer Fachmedien Wiesbaden GmbH The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany
To my parents and Sissi
Preface With the increasing demands on product quality and process operating safety, process monitoring and fault detection (PM-FD) has become an important area of research in recent decades. Numerous methods were developed in this area for different types of processes and applied to various industrial sectors. However, there is little work focusing on comparing and assessing their performance using a unified framework, and thus few suggestions and guidance for choosing an appropriate method can be provided to the practitioners. Therefore, the performance assessment study for PM-FD methods has become an area of interest in both academia and industry. The first objective of this thesis is to assess the performance of basic FD statistics. The commonly used two statistics, namely, T 2 and Q are first examined. With the aid of χ2 distribution, their differences to detect additive and multiplicative faults are revealed and compared under the statistical framework. Due to their low detectability to multiplicative faults, some alternative statistics are investigated. Based on the basic FD statistics, different PM-FD methods have been proposed to monitor the key performance indicators (KPIs
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