Fault detection, isolation, and estimation—exact or almost fault estimation

Part of the Systems & Control: Foundations & Applications book series (SCFA)


Various types of faults arise in industrial p rocesses owing to malfunctio n o f internal components of a process as well as to failures of measurement sensors and control actuators attached to the process. Over the last three or four decades, industrial automation has been increasingly fueled by various technological developments including the availability of highly complex electronic equipment and the overwhelming progress in computer technology. This has led not only to the development of complex control systems but also to higher demand of reliable and secure control systems. Thus it has become imperative that any faults that occur be detected and identified automatically without severely disturbing the yield the process generates. This has stimulated over the last two decades an extensive study of fault detection and identification methods.


Fault Detection Solvability Condition Fault Signal Residual Signal Fault Estimation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Birkhäuser Boston 2007

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