Model-based Fault Diagnosis Techniques
Design Schemes, Algorithms, and Tools
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Beschreibung
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.
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.
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
Autor*in
Steven X. Ding
Themen in »Model-based Fault Diagnosis Techniques«
FDI in control systems Model based fault detection and diagnosis advanced control theory algorithm algorithms complexity fault isolation and identification model modeling observer methods process monitoring robustness quality control, reliability, safety and risk