Authors:
- Gives readers a framework of model-based FDI techniques, helping them to become familiar with the basic ideas and schemes in a systematic way
- Design algorithms and mathematical and control engineering tools encourage the translation of the ideas of the book to readers’ own systems
- Examples and benchmarks provide a means of practising the ideas and judging the methods described
- Classroom tested in the author’s teaching of graduate students
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (15 chapters)
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Front Matter
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Introduction, Basic Concepts and Preliminaries
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Front Matter
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Introduction, basic concepts and preliminaries
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Residual Generation
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Front Matter
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Residual Evaluation and Threshold Computation
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Front Matter
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Residual evaluation and threshold computation
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Fault Detection, Isolation and Identification Schemes
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Front Matter
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Fault detection, isolation and identification schemes
About this book
This second edition of Model-Based Fault Diagnosis Techniques contains:
• new material on fault isolation and identification and alarm management;
• extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;
• addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and
• enhanced discussion of residual evaluation which now deals with stochastic processes.
Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
Authors and Affiliations
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Inst. Autom.technik & Kompl. Syst. (AKS), Universität Duisburg-Essen, Duisburg, Germany
Steven X. Ding
About the author
Steven X. Ding began investigating issues concerned with model-based fault detection and identification in 1986 during his PhD. Following a three-year stay in industry, in which he gained experience with the application of FDI techniques in real technical processes, he returned to academia and during the last 17 years has become a university professor and institute head. He has been involved with numerous national and international research grants and industrial projects in the development of advanced FDI methods and their application in different sectors of industry. He teaches fault diagnosis and fault-tolerant systems to Masters students and advanced FDI methods to PhD students at the University of Duisburg-Essen. He has also guest-lectured and taught courses on these subjects at other universities and research institutes. Professor Ding has published more than 80 journal and 130 conference papers associated with the field of FDI.
Bibliographic Information
Book Title: Model-Based Fault Diagnosis Techniques
Book Subtitle: Design Schemes, Algorithms and Tools
Authors: Steven X. Ding
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-1-4471-4799-2
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2013
Hardcover ISBN: 978-1-4471-4798-5Published: 02 January 2013
Softcover ISBN: 978-1-4471-6111-0Published: 28 January 2015
eBook ISBN: 978-1-4471-4799-2Published: 20 December 2012
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 2
Number of Pages: XX, 504
Topics: Control and Systems Theory, Industrial Chemistry/Chemical Engineering, Power Electronics, Electrical Machines and Networks, Quality Control, Reliability, Safety and Risk