Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Model-based fault diagnosis : methods for state-space systems / Zhenhua Wang, Yi Shen.
ISBN
9789811967061 (electronic bk.)
9811967067 (electronic bk.)
9789811967054 (print)
Published
Singapore : Springer, [2023]
Language
English
Description
1 online resource (xv, 200 pages) : illustrations (some color).
Other Standard Identifiers
10.1007/978-981-19-6706-1 doi
Call Number
TA169.6
Dewey Decimal Classification
620/.0044
Summary
This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 31, 2022).
Series
Studies in systems, decision and control ; v. 221. 2198-4190
Introduction
Modelling for Fault Diagnosis
Observer-Based Residual Generation
Robust Residual Generation Based on Unknown Input Observer
Optimal Robust Residual Generation
Residual Evaluation Based on Threshold Computation
Fault Isolation Based on Structured Residual Generation
Fault Isolation Based on Directional Residual Generation
Observer-Based Fault Estimation
Kalman Filter-Based Fault Diagnosis
Parity Space Approaches.
