Fault Diagnosis [electronic resource] : Models, Artificial Intelligence, Applications /
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.
Main Authors: | , , , , |
---|---|
Format: | Texto biblioteca |
Language: | eng |
Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
2004
|
Subjects: | Computer science., Artificial intelligence., Applied mathematics., Engineering mathematics., Vibration., Dynamical systems., Dynamics., Control engineering., Robotics., Mechatronics., Computer Science., Artificial Intelligence (incl. Robotics)., Appl.Mathematics/Computational Methods of Engineering., Vibration, Dynamical Systems, Control., Control, Robotics, Mechatronics., |
Online Access: | http://dx.doi.org/10.1007/978-3-642-18615-8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Published 2004