Fault Diagnosis : Models, Artificial Intelligence, Applications

Józef Korbicz

ISBN 10: 3540407677 / ISBN 13: 9783540407676

Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2003

Neuware - All real systems in nature - physical, biological and engineering ones - can malfunction and fail due to faults in their components. Logically,the chances for malfunctions increase with the systems' complexity. The complexity of engineering systems is permanently growing due to their growing size and the degree of automation, and accordingly increasing is the danger of fail ing and aggravating their impact for man and the environment. Therefore, in the design and operation of engineering systems, increased attention has to be paid to reliability, safety and fault tolerance. But it is obvious that, compared to the high standard of perfection that nature has achieved with its self-healing and self-repairing capabilities in complex biological organisms, fault management in engineering systems is far behind the standards of their technological achievements; it is still in its infancy, and tremendous work is left to be done. In technical control systems, defects may happen in sensors, actuators, components of the controlled object - the plant, or in the hardware or soft ware of the control framework. Such defects in the components may develop into a failure of the whole system. This effect can easily be amplified by the closed loop, but the closed loop may also hide an incipient fault from be ing observed until a situation has occurred in which the failing of the whole system has become unavoidable. Seller Inventory # 9783540407676

Synopsis:

All real systems in nature - physical, biological and engineering ones - can malfunction and fail due to faults in their components. Logically,the chances for malfunctions increase with the systems' complexity. The complexity of engineering systems is permanently growing due to their growing size and the degree of automation, and accordingly increasing is the danger of fail­ ing and aggravating their impact for man and the environment. Therefore, in the design and operation of engineering systems, increased attention has to be paid to reliability, safety and fault tolerance. But it is obvious that, compared to the high standard of perfection that nature has achieved with its self-healing and self-repairing capabilities in complex biological organisms, fault management in engineering systems is far behind the standards of their technological achievements; it is still in its infancy, and tremendous work is left to be done. In technical control systems, defects may happen in sensors, actuators, components of the controlled object - the plant, or in the hardware or soft­ ware of the control framework. Such defects in the components may develop into a failure of the whole system. This effect can easily be amplified by the closed loop, but the closed loop may also hide an incipient fault from be­ ing observed until a situation has occurred in which the failing of the whole system has become unavoidable.

From the Back Cover:

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

Title: Fault Diagnosis : Models, Artificial ...
Publisher: Springer, Berlin, Springer Berlin Heidelberg, Springer
Publication Date: 2003
Binding: Buch
Condition: Neu