Overview
- A textbook with extensive examples and references
- Helpful for the study on model based FDI theory and technique
- Most of methods are given in the form of an algorithm that enables a direct implementation in a programme
- Comparisons among different methods are included when possible
- Includes supplementary material: sn.pub/extras
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Table of contents (14 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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Residual evaluation and threshold computation
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Front Matter
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Fault detection, isolation and identification schemes
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Front Matter
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Back Matter
Keywords
About this book
A most critical and important issue surrounding the design of automatic control systems with the successively increasing complexity is guaranteeing a high system performance over a wide operating range and meeting the requirements on system reliability and dependability. As one of the key technologies for the problem solutions, advanced fault detection and identification (FDI) technology is receiving considerable attention.
The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.
Authors and Affiliations
Bibliographic Information
Book Title: Model-based Fault Diagnosis Techniques
Book Subtitle: Design Schemes, Algorithms, and Tools
Authors: Steven X. Ding
DOI: https://doi.org/10.1007/978-3-540-76304-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
eBook ISBN: 978-3-540-76304-8Published: 23 February 2008
Edition Number: 1
Number of Pages: XX, 473
Number of Illustrations: 56 b/w illustrations
Topics: Control, Robotics, Mechatronics, Control and Systems Theory, Industrial and Production Engineering, Quality Control, Reliability, Safety and Risk, System Performance and Evaluation, Mathematical Modeling and Industrial Mathematics