Model-Based Fault Diagnosis Techniques

Design Schemes, Algorithms and Tools

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Last edited by ImportBot
December 25, 2021 | History

Model-Based Fault Diagnosis Techniques

Design Schemes, Algorithms and Tools

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.^

This second edition of Model-Based Fault Diagnosis Techniques contains:

· new material on fault isolation and identification, and fault detection in feedback control loops;

· 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 in stochastic processes.^

    Model-based Fault Diagnosis Techniques 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.

    Model-based Fault Diagnosis Techniques 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.

· enhanced discussion of residual evaluation in stochastic processes.^

Model-based Fault Diagnosis Techniques 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.

Advances in Industrial Control 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.

Publish Date
Publisher
Springer
Pages
524

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Previews available in: English

Edition Availability
Cover of: Model-Based Fault Diagnosis Techniques
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
2015, Springer London, Limited, Springer
in English
Cover of: Model-Based Fault Diagnosis Techniques
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
Jan 02, 2013, Springer
hardcover
Cover of: Model-Based Fault Diagnosis Techniques
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
2013, Springer London, Imprint: Springer
electronic resource : in English - 2nd ed. 2013.
Cover of: Model-Based Fault Diagnosis Techniques
Model-Based Fault Diagnosis Techniques
Aug 30, 2008, Springer
paperback

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Book Details


Edition Notes

Source title: Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools (Advances in Industrial Control)

Classifications

Library of Congress
TA1-2040

The Physical Object

Format
hardcover
Number of pages
524

ID Numbers

Open Library
OL27976139M
ISBN 10
1447147987
ISBN 13
9781447147985

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 25, 2021 Edited by ImportBot import existing book
April 30, 2020 Created by ImportBot Imported from amazon.com record