Model-Based Fault Diagnosis Techniques
Design Schemes, Algorithms and Tools
2nd ed. 2013.
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Author
Contributions
- SpringerLink (Online service) - Contributor
Publication
2013 - Springer London, London, United Kingdom
Language
English
Word Count
125,250 words, Guess
Page Count
501 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivemodelbasedfaultd00ding_158
- ISBN-139781447147992
- ISBN-101447147995
- Better World Books9781447147992
- Open LibraryOL27075317M
Classifications
- DDC629.8
- LCCTJ212-225
- LCCTA1-2040
Description
<p>Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.^ </p><p>This second edition of <i>Model-Based Fault Diagnosis Techniques</i> contains:</p><p>· new material on fault isolation and identification, and fault detection in feedback control loops; </p><p>· extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; </p><ul><li>addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and<p>· enhanced discussion of residual evaluation in stochastic processes.^ </p><p><i>Model-based Fault Diagnosis Techniques</i> will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.</p><p><p><i>Model-based Fault Diagnosis Techniques</i> will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.</p><p></li></ul><p>· enhanced discussion of residual evaluation in stochastic processes.^ </p><p><i>Model-based Fault Diagnosis Techniques</i> will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.</p><p><b>Advances in Industrial Control </b>aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.</p>
Subjects
Other Editions
- Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
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