Fault Diagnosis: Models, Artificial Intelligence, Applications

✍ Scribed by Wojciech Cholewa, Jan Maciej Kościelny (auth.), Prof. Józef Korbicz, Prof. Zdzisław Kowalczuk, Prof. Jan M. Kościelny, Prof. Wojciech Cholewa (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2004
• Tongue: English
• Leaves: 935
• Edition: 1
• Category: Library

✦ Synopsis

This comprehensive work presents the status and likely development of fault diagnosis, which has become an emerging discipline of modern control engineering. It covers the fundamentals of model-based fault diagnosis in a wide context relevant to industrial engineers and scientists as well as academics pursuing the reliability and fault detection issues of safety-critical industrial processes. The wide scope of the book provides graduate and postgraduate students of control and mechanical engineering or system sciences with a good introduction to the theoretical foundation and many basic approaches of fault detection, while providing useful bibliographical information. It is a valuable reference book and practical help for industrial control engineers who are in charge of the improvement and safety of the technical control systems, condition-based maintenance and repair, or of the design of fault tolerant control systems.

✦ Table of Contents

Front Matter....Pages I-XXIX
Front Matter....Pages 1-1
Introduction....Pages 3-27
Models in the Diagnostics of Processes....Pages 29-58
Process Diagnostics Methodology....Pages 59-117
Methods of Signal Analysis....Pages 119-153
Control Theory Methods in Designing Diagnostic Systems....Pages 155-218
Optimal Detection Observers Based on Eigenstructure Assignment....Pages 219-259
Robust H ∞ -Optimal Synthesis of FDI Systems....Pages 261-298
Front Matter....Pages 299-299
Evolutionary Methods in Designing Diagnostic Systems....Pages 301-331
Artificial Neural Networks in Fault Diagnosis....Pages 333-379
Parametric and Neural Network Wiener and Hammerstein Models in Fault Detection and Isolation....Pages 381-410
Application of Fuzzy Logic to Diagnostics....Pages 411-456
Observers and Genetic Programming in the Identification and Fault Diagnosis of Non-Linear Dynamic Systems....Pages 457-509
Genetic Algorithms in the Multi-Objective Optimisation of Fault Detection Observers....Pages 511-556
Pattern Recognition Approach to Fault Diagnostics....Pages 557-590
Expert Systems in Technical Diagnostics....Pages 591-631
Selected Methods of Knowledge Engineering in Systems Diagnosis....Pages 633-674
Methods of Acquisition of Diagnostic Knowledge....Pages 675-718
Front Matter....Pages 719-719
State Monitoring Algorithms for Complex Dynamic Systems....Pages 721-762
Diagnostics of Industrial Processes in Decentralised Structures....Pages 763-779
Detection and Isolation of Manoeuvres in Adaptive Tracking Filtering Based on Multiple Model Switching....Pages 781-819
Front Matter....Pages 719-719
Detecting and Locating Leaks in Transmission Pipelines....Pages 821-864
Industrial Applications....Pages 865-902
Diagnostic Systems....Pages 903-920

✦ Subjects

Artificial Intelligence (incl. Robotics); Appl.Mathematics/Computational Methods of Engineering; Vibration, Dynamical Systems, Control; Control, Robotics, Mechatronics