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.

Bibliographic Details

Main Authors:	Korbicz, Józef. editor., Kowalczuk, Zdzisław. editor., Kościelny, Jan M. editor., Cholewa, Wojciech. editor., SpringerLink (Online service)
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
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